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Purpose: DOF (DNA-binding with One Finger) proteins are plant-specific transcription factors which mediate numerous biological processes. The purpose of the current study is to report new naturally occurring mutations in the gene encoding for one of the members of DOF proteins named DOF 4.2. Methods: The expression of zinc finger domain of DOF 4.2 (DOF 4.2-ZF) was investigated by first synthesis of cDNA library using different parts of Arabidopsis thaliana plant. Then the coding sequence for zinc finger domain of DOF 4.2 protein was prepared using nested PCR experiment and cloned into pGEX-6P-1 expression vector. Finally, the prepared construct was used for protein expression. Furthermore, molecular dynamics (MD) simulation was carried out to predict DNA binding affinity of DOF 4.2-ZF using AMBER package. Results: For the first time a new variant of DOF 4.2-ZF protein with three mutations was detected. One of the mutations is silent while the other two mutations lead to amino acid replacement (S18G) as well as introduction of a stop codon ultimately resulting in a truncated protein production. In order to investigate whether the truncated form is able to recognize DNA binding motif, MD simulations were carried out and the results showed that the chance of binding of DOF 4.2-ZF protein to cognate DNA in its truncated form is very low. Conclusion: The findings demonstrated that the observed mutations adversely affect the DNA binding ability of the truncated form of DOF4.2 if it is expressed in the mutant variant of A. thaliana used in this study.

Recently, the diarylurea scaffold has been used widely to design potential anticancer agents. Pursuing our design strategy based on the modification of sorafenib as the lead compound using de novo design approaches, a new series of diaryl urea derivatives were synthesized through an efficient sequential one-pot reaction and evaluated for their in vitro antiproliferative activities against A549 and HT-29 cell lines. Notably, compound 11j exhibited antiproliferative activity against HT-29 with an IC50 value of 17.87 µM. SAR analyses revealed that substitution of the core diaryl scaffold with chlorine and methyl groups, and linear elongation of the molecules by the introduction of a methylene spacer group could cooperatively improve antiproliferative activity. The most active compound 11j induced mild apoptosis in HT-29 cells assessed based on DAPI staining experiments. The results of molecular docking simulations showed that the novel compounds bind to VEGFR-2 in a similar fashion to that observed for sorafenib. Molecular docking calculations also revealed that the most active compound 11j can bind well to the active site of VEGFR-2 by forming various interactions similar to those known for sorafenib particularly the π–π interaction, which is almost unique to sorafenib and highly active derivatives.

Background : Uncontrolled activity of tumor necrosis factor alpha (TNF-α) as pro-inflammatory cytokine has been linked with pathogenesis of autoimmune/inflammatory diseases. Therefore, modulating of TNF-α associated biological pathways is a promising strategy for alleviating of such diseases. In view of this, the use of antibody fragments such as single-chain variable fragments (scFv) in therapeutic applications has been gained much attention in terms of pharmacokinetic as well as production and therapeutic costs. Methods: In the current investigation, the previously designed and humanized hD2 antibody was modeled and docked onto the TNF-α structure. The binding free energy was predicted for the complex of hD2-TNF-α using molecular dynamics calculation followed by per-residue energy decomposition for residues of hD2. In addition in silico mutations of important amino acids at the binding site of enzyme were performed and the binding free energy was calculated for mutant forms of scFv in complex with TNF-α. Results: The analyses of the results proposed Y27F mutation in heavy chain CDR1 of hD2 scFv antibody may be considered as a promising substitution. Conclusion: The results may be used for designing new anti-TNF-α antibody with improved activity.

Background: Fibroblast growth factors (FGFs) are involved in angiogenesis, wound healing and embryonic development. However, one of the causes of cancer cell growth in fibroblast-dependent cancers is FGF7 secreted by fibroblasts. Therefore, antibodies against FGF7 can be used for treatment of these types of cancers. Methods: In previous studies, a phage displaying single domain antibody, D53, against human FGF7 has been identified using the phage display technique. In the present study, D53 was produced and purified in its isolated form. ELISA experiment was performed to evaluate the binding of D53 to FGF7. The mode of interaction of D53-FGF7 was explored using docking study and molecular dynamics (MD) simulations. Results: The expression and purification processes were verified using western blotting and SDS-PAGE analyses. ELISA experiment showed that D53 is able to recognize and bind FGF7. Docking study and MD simulations indicated that compared to dummy VH, D53 has more affinity towards FGF7. Conclusion: The findings in the current study can be useful for generation and development of FGF7 inhibitors with potential use in fibroblast-dependent cancers.

Recently, multi-target directed ligands have been of research interest for multifactorial disorders such as Alzheimer's disease (AD). Since H3 receptors (H3 Rs) and cholinesterases are involved in pathophysiology of AD, identification of dual-acting compounds capable of improving cholinergic neurotransmission is of importance in AD pharmacotherapy. In the present study, H3 R antagonistic activity combined with anticholinesterase properties of two previously computationally identified lead compounds, that is, compound 3 (6-chloro-N-methyl-N-[3-(4-methylpiperazin-1-yl)propyl]-1H-indole-2-carboxamide) and compound 4 (7-chloro-N-[(1-methylpiperidin-3-yl)methyl]-1,2,3,4-tetrahydroisoquinoline-2-carboxamide), was tested. Moreover, molecular docking and binding free energy calculations were conducted for binding mode and affinity prediction of studied ligands toward cholinesterases. Biological evaluations revealed inhibitory activity of ligands in nanomolar (compound 3: H3 R EC50 = 0.73 nM; compound 4: H3 R EC50 = 31 nM) and micromolar values (compound 3: AChE IC50 = 9.09 µM, BuChE IC50 = 21.10 µM; compound 4: AChE IC50 = 8.40 µM, BuChE IC50 = 4.93 µM) for H3 R antagonism and cholinesterase inhibition, respectively. Binding free energies yielded good consistency with cholinesterase inhibitory profiles. The results of this study can be used for lead optimization where dual inhibitory activity on H3 R and cholinesterases is needed. Such ligands can exert their biological activity in a synergistic manner resulting in higher potency and efficacy.

To investigate whether peptide sequences with specific translocation across the gastrointestinal barrier can be identified as drug delivery vehicles, in vivo phage display was conducted. For this purpose, a random library of 12-mer peptides displayed on M13 bacteriophage was orally administered to mice followed by recovery of the phage particles from the blood samples after three consecutive biopanning rounds. The obtained peptide sequences were analyzed using bioinformatics tools and software. The results demonstrated that M13 bacteriophage bearing peptides translocate nonspecifically across the mice intestinal mucosal barrier deduced from random distribution of amino acids in different positions of the identified peptide sequences. The most probable reason for entering the phage particles into systemic circulation after oral administration of the peptide library can be related to the nanoscale nature of their structures which provides a satisfying platform for the purpose of designing nanocarriers in pharmaceutical applications.

A new series of 1,3,5-trisubstituted 2-pyrazolines for the inhibition of cyclooxygenase-2 (COX-2) were synthesized. The designed structures include a COX-2 pharmacophore SO2 CH3 at the para-position of the phenyl ring located at C-5 of a pyrazoline scaffold. The synthesized compounds were tested for in vitro COX-1/COX-2 inhibition and cell toxicity against human colorectal adenocarcinoma cell lines HT-29. The lead compound (4-chlorophenyl){5-[4-(methanesulfonyl)phenyl]-3-phenyl-4,5-dihydro-1H-pyrazol-1-yl}methanone (16) showed significant COX-2 inhibition (IC50 =0.05±0.01 μM), and antiproliferative activity (IC50 =5.46±4.71 μM). Molecular docking studies showed that new pyrazoline-based compounds interact via multiple hydrophobic and hydrogen-bond interactions with key binding site residues of the COX-2 enzyme.

Single-chain fragment variable (scFv) antibodies are antibody fragments consist of variable domains of full antibodies known to retain antigen binding properties while having much lower molecular weights granting some beneficial properties to them. In our previous study, three phage particles each displaying an individual scFv antibody (i.e. J43, J44, and J48) were identified as tumor necrosis factor alpha (TNF-α) binders. The current study aimed to produce previously identified anti-TNF-α scFv antibodies and to investigate their abilities to bind and inhibit TNF-α biological effect. The estimated free energy of folding determined using spectrofluorimetry method for the prepared scFv proteins was in the range of 6.35-12.45 kJ mol

Introduction: The bacterial enzyme has gained more attention in therapeutic application because of the higher substrate specificity and longer half-life. L-asparaginase is an important enzyme with known antineoplastic effect against acute lymphoblastic leukemia (ALL). Methods: Novel L-asparaginase genes were identified from a locally isolated halo-thermotolerant Bacillus strain and the recombinant enzymes were overexpressed in modified E. coli strains, OrigamiTM B and BL21. In addition, the biochemical properties of the purified enzymes were characterized, and the enzyme activity was evaluated at different temperatures, pH, and substrate concentrations. Results: The concentration of pure soluble enzyme obtained from Origami strain was ~30 mg/L of bacterial culture, which indicates the significant improvement compared to L-asparaginase produced by E. coli BL21 strain. The catalytic activity assay on the identified L-asparaginases (ansA1 and ansA3 genes) from Bacillus sp. SL-1 demonstrated that only ansA1 gene codes an active and stable homologue (ASPase A1) with high substrate affinity toward L-asparagine. The Kcat and Km values for the purified ASPase A1 enzyme were 23.96s-1 and 10.66 µM, respectively. In addition, the recombinant ASPase A1 enzyme from Bacillus sp. SL-1 possessed higher specificity to L-asparagine than L-glutamine. The ASPase A1 enzyme was highly thermostable and resistant to the wide range of pH 4.5–10. Conclusion: The biochemical properties of the novel ASPase A1 derived from Bacillus sp. SL-l indicated a great potential for the identified enzyme in pharmaceutical and industrial applications.

Background Statins mostly target the liver; therefore, increase in the synthesis of cholesterol by extra-hepatic tissues and then transferring this cholesterol to the liver can be regarded as adaptive responses by these tissues. In addition to cholesterol, these adaptive responses can increase isoprenoid units as the byproducts of the cholesterol biosynthesis pathway; isoprenoids play a key role in regulating cell signaling pathways and cancer development. Thus, there is a primary need for in vivo investigation of the effects of statins on the cholesterol metabolism in the extra-hepatic tissues. Materials Eighteen male Sprague-Dawley rats were randomly divided into control (n = 9) and treatment (n = 9) groups. The treatment group was orally given 10 mg/kg/day of Rosuvastatin for 6 weeks. Then, serum lipid profile, expression levels of 3-hydroxy-3-methyl-glutaryl-coenzyme A reductase (HMGCR), ABCA1, ABCG1 and ApoA1, and activity of HMGCR were measured in the liver, intestine and adipose tissues. Results Rosuvastatin significantly reduced total cholesterol and LDL-C. The expression levels of ABCA1, ABCG1, and ApoA1 in the liver and HMGCR in both liver and intestine were significantly increased in the Rosuvastatin treated-group. However, in the intestine, there were no significant differences in the expression levels of ABCA1 and ABCG1 between the study groups. Rosuvastatin had no effect on the adipose tissue. The HMGCR activity was significantly increased in the liver and intestine of the Rosuvastatin-treated group. Conclusions In spite of the adipose tissue, the intestine efficiently responses to the reduced levels of cholesterol and increases its cholesterogenesis capacity. However, adipose tissue seems to play a small role in correcting cholesterol deficiency during the course of statin therapy.

Purpose: Receptor tyrosine kinase (RTK) inhibitors are widely used pharmaceuticals in cancer therapy. Fibroblast growth factor receptors (FGFRs) are members of RTK superfamily which are highly expressed on the surface of carcinoma associate fibroblasts (CAFs). The involvement of FGFRs in different types of cancer makes them promising target in cancer therapy and hence, the identification of novel FGFR inhibitors is of great interest. In the current study we aimed to develop an alignment independent three dimensional quantitative structure-activity relationship (3D-QSAR) model for a set of 26 FGFR2 kinase inhibitors allowing the prediction of activity and identification of important structural features for these inhibitors. Methods: Pentacle software was used to calculate grid independent descriptors (GRIND) for the active conformers generated by docking followed by the selection of significant variables using fractional factorial design (FFD). The partial least squares (PLS) model generated based on the remaining descriptors was assessed by internal and external validation methods. Results: Six variables were identified as the most important probes-interacting descriptors with high impact on the biological activity of the compounds. Internal and external validations were lead to good statistical parameters (r2 values of 0.93 and 0.665, respectively). Conclusion: The results showed that the model has good predictive power and may be used for designing novel FGFR2 inhibitors.

Purpose: Implication of protein-protein interactions (PPIs) in development of many diseases such as cancer makes them attractive for therapeutic intervention and rational drug design. RON (Recepteur d’Origine Nantais) tyrosine kinase receptor has gained considerable attention as promising target in cancer therapy. The activation of RON via its ligand, macrophage stimulation protein (MSP) is the most common mechanism of activation for this receptor. The aim of the current study was to perform in silico alanine scanning mutagenesis and to calculate binding energy for prediction of hot spots in protein-protein interface between RON and MSPβ chain (MSPβ). Methods: In this work the residues at the interface of RON-MSPβ complex were mutated to alanine and then molecular dynamics simulation was used to calculate binding free energy. Results: The results revealed that Gln193, Arg220, Glu287, Pro288, Glu289, and His424 residues from RON and Arg521, His528, Ser565, Glu658, and Arg683 from MSPβ may play important roles in protein-protein interaction between RON and MSP. Conclusion: Identification of these RON hot spots is important in designing anti-RON drugs when the aim is to disrupt RON-MSP interaction. In the same way, the acquired information regarding the critical amino acids of MSPβ can be used in the process of rational drug design for developing MSP antagonizing agents, the development of novel MSP mimicking peptides where inhibition of RON activation is required, and the design of experimental site directed mutagenesis studies.

Breast cancer (BC), as one of the leading causes of death among women, comprises several subtypes with controversial and poor prognosis. Considering the TNM (tumor, lymph node, metastasis) based classification for staging of breast cancer, it is essential to diagnose the disease at early stages. The present study aims to take advantage of the systems biology approach on genome wide gene expression profiling datasets to identify the potential biomarkers involved at stage I, stage II, stage III, and stage IV as well as in the integrated group. Three HER2-negative breast cancer microarray datasets were retrieved from the GEO database, including normal, stage I, stage II, stage III, and stage IV samples. Additionally, one dataset was also extracted to test the developed predictive models trained on the three datasets. The analysis of gene expression profiles to identify differentially expressed genes (DEGs) was performed after preprocessing and normalization of data. Then, statistically significant prioritized DEGs were used to construct protein–protein interaction networks for the stages for module analysis and biomarker identification. Furthermore, the prioritized DEGs were used to determine the involved GO enrichment and KEGG signaling pathways at various stages of the breast cancer. The recurrence survival rate analysis of the identified gene biomarkers was conducted based on Kaplan–Meier methodology. Furthermore, the identified genes were validated not only by using several classification models but also through screening the experimental literature reports on the target genes. Fourteen (21 genes), nine (17 genes), eight (10 genes), four (7 genes), and six (8 genes) gene modules (total of 53 unique genes out of 63 genes with involving those with the same connectivity degree) were identified for stage I, stage II, stage III, stage IV, and the integrated group. Moreover, SMC4, FN1, FOS, JUN, and KIF11 and RACGAP1 genes with the highest connectivity degrees were in module 1 for abovementioned stages, respectively. The biological processes, cellular components, and molecular functions were demonstrated for outcomes of GO analysis and KEGG pathway assessment. Additionally, the Kaplan–Meier analysis revealed that 33 genes were found to be significant while considering the recurrence-free survival rate as an alternative to overall survival rate. Furthermore, the machine learning calcification models show good performance on the determined biomarkers. Moreover, the literature reports have confirmed all of the identified gene biomarkers for breast cancer. According to the literature evidence, the identified hub genes are highly correlated with HER2-negative breast cancer. The 53-mRNA signature might be a potential gene set for TNM based stages as well as possible therapeutics with potentially good performance in predicting and managing recurrence-free survival rates at stages I, II, III, and IV as well as in the integrated group. Moreover, the identified genes for the TNM-based stages can also be used as mRNA profile signatures to determine the current stage of the breast cancer.

Platelet-derived growth factor (PDGF) is a family of growth factors with mitogenic and chemotactic activity. However, uncontrolled and overactivated PDGF signaling has been implicated in a variety of diseases, such as cancers and atherosclerosis. In this context, inhibition of PDGF-PDGFR signaling is of paramount importance in progression of such diseases. The purpose of the current study was to identify novel PDGF-B inhibitors using virtual screening methods. To this end, a combination of molecular modeling techniques such as molecular docking and dynamics simulation, as well as drug likeness filtering criteria, was applied to select anti-PDGF peptidomimetic candidates based on crystallography solved structure of an anti-PDGF-B monoclonal antibody named, MOR8457. In vitro biological assays of the selected compounds revealed two of them being active at micromolar IC50 concentrations. The presented work can provide a framework for systematic peptidomimetic identification for anti-PDGF-B agents from large chemical libraries.

New compounds containing indanone and carbamate moieties were designed based on the hybrid pharmacophore approach. The designed compounds were synthesized and fully characterized by using different methods such as IR, Mass, 1H NMR, 13C NMR, and HPTLC. In vitro inhibitory activities of all synthesized compounds were evaluated against acetylcholinesterase (AChE) and butyrylcholinesterase (BChE). The compound 3-[(5,6-dimethoxy-1-oxo-2,3-dihydro-1H-inden-2-yl) methyl] phenyl (4-methoxyphenyl) carbamate (4h) showed the best inhibitory activities with IC50 values of 1.20 and 0.30 μM against AChE and BChE, respectively. In addition, this compound showed a β-amyloid self-aggregation inhibitory effect (86.8%), stronger than that of donepezil (45.5%). Moreover, significant neuroprotective activity on PC12 cells against H2O2 induced cell death was demonstrated for compound 4h at 10 and 100 µM concentrations. Kinetic studies using the 4h confirmed a partial non-competitive mixed type of inhibition mechanism on both enzymes. Considering the suggested inhibition mechanism, molecular docking was used to predict the possible allosteric binding mode of 4h with both AChE and BChE enzymes. The presented indanone-carbamate scaffold can be structurally modified and optimized through medicinal chemistry-based approaches for designing novel multi-target anti-Alzheimer agents.

The aim of this study was to identify novel TNF-α blocking peptide(s) using phage display technology. Two novel 7-mer TNF-α binding peptides P51 and P52 with Kd values of 1.47 and 0.51nM were identified. Phage particles displaying P51 and P52 peptides at 0.318nM concentration prevent cytotoxic effect of TNF-α on L929 cells by 8.2% and 16.15%, respectively. Synthesized P51 and P52 peptides also inhibited TNF-α induced cytotoxicity with IC50 values of 25.15±2.18 and 7.08±2.24μM, respectively. The result of RT-PCR also supports the inhibitory activity of the identified peptides, where P51 and P52 significantly inhibit the inductive effect of TNF-α on IκB-α mRNA levels. The inhibitory effects of the peptides were attributed to their abilities of binding at the inter-subunit interfaces leading to TNF-α dissociation. The results of molecular docking studies revealed that the peptides-TNF-α complexes are mostly stabilized by hydrophobic contacts.

Purpose: Robust pharmaceutical and industrial enzymes from extremophile microorganisms are main source of enzymes with tremendous stability under harsh conditions which make them potential tools for commercial and biotechnological applications. Methods: The genome of a Gram-positive halo-thermotolerant Bacillus sp. SL1, new isolate from Saline Lake, was investigated for the presence of genes coding for potentially pharmaceutical enzymes. We determined gene sequences for the enzymes laccase (CotA), l-asparaginase (ansA3, ansA1), glutamate-specific endopeptidase (blaSE), l-arabinose isomerase (araA2), endo-1,4-β mannosidase (gmuG), glutaminase (glsA), pectate lyase (pelA), cellulase (bglC1), aldehyde dehydrogenase (ycbD) and allantoinases (pucH) in the genome of Bacillus sp. SL1. Results: Based on the DNA sequence alignment results, six of the studied enzymes of Bacillus sp. SL-1 showed 100% similarity at the nucleotide level to the same genes of B. licheniformis 14580 demonstrating extensive organizational relationship between these two strains. Despite high similarities between the B. licheniformis and Bacillus sp. SL-1 genomes, there are minor differences in the sequences of some enzyme. Approximately 30% of the enzyme sequences revealed more than 99% identity with some variations in nucleotides leading to amino acid substitution in protein sequences. Conclusion: Molecular characterization of this new isolate provides useful information regarding evolutionary relationship between B. subtilis and B. licheniformis species. Since, the most industrial processes are often performed in harsh conditions, enzymes from such halo-thermotolerant bacteria may provide economically and industrially appealing biocatalysts to be used under specific physicochemical situations in medical, pharmaceutical, chemical and other industries.

Cancer is one of the most important life-threatening diseases in the world. The current efforts to combat cancer are being focused on molecular-targeted therapies. The main purpose of such approaches is based on targeting cancer cell-specific molecules to minimize toxicity for the normal cells. RON (Recepteur d'Origine Nantais) tyrosine kinase receptor is one of the promising targets in cancer-targeted therapy and drug delivery.In this review, we will summarize the available agents against extracellular domain of RON with potential antitumor activities.The presented antibodies and antibody drug conjugates against RON in this review showed wide spectrum of in vitro and in vivo antitumor activities promising the hope for them entering the clinical trials.Due to critical role of extracellular domain of RON in receptor activation, the development of therapeutic agents against this region could lead to fruitful outcome in cancer therapy.

Leishmaniasis is a disease caused by a protozoan parasites belonging to the genus Leishmania. It causes morbidity and mortality in the tropical and subtropical regions. Current drugs are toxic, expensive, and require long-term treatment. Thus, identification and development of novel, cheap, efficient, and safe antileishmanial compounds as drug candidates are important from pharmaceutical point of view. Quantitative structure–activity relationship (QSAR) methods are used to predict the pharmaceutically relevant properties of drug candidates whenever it is applicable. The aim of this study was to use two different techniques, namely multiple linear regression (MLR) and artificial neural networks (ANNs) in predicting the antileishmanial activity (i.e. pIC50) of 5-(5-nitroheteroaryl-2-y1)-1,3,4-thiadiazole derivatives. To this end, genetic algorithm-coupled partial least square and backward multiple regression method were used to select a number of calculated molecular descriptors to be used in MLR and ANN-based QSAR studies. The predictive power of the models was also assessed using leave-one-out and leave-group-out cross validation methods. Also, molecular modeling studies were conducted based on DNA topoisomerase I to identify the binding interactions responsible for antileishmanial activity of those analogs. The results suggest that hydrogen bonding interactions and several hydrophobic interactions of ligands with the active site of Leishmania major topoisomerase IB are responsible for their potent antileishmanial activity. These results can be exploited for structure-based computer-aided drug designing of new and selective leishmania topoisomerase inhibitors. Copyright © 2016 John Wiley & Sons, Ltd.

A tumor is defined as a group of cancer cells and 'surrounding' stromal bio-entities. Alongside the extracellular matrix (ECM) in the tumor microenvironment (TME), the stromal cells play key roles in cancer affliction and progression. Carcinoma-associated fibroblasts (CAFs) in the area of the tumor, whether activated or not, dictate the future of tumor cells. The CAFs and corresponding secreted growth factors (GFs), which mediate the crosstalk within the TME, can be targeted in therapies directed at the stroma. The impact of the fibroblast growth factor-fibroblast growth factor receptor (FGF-FGFR) signaling pathway in different kinds of tumors has been explored. Several tyrosine kinase inhibitors (TKIs), monoclonal antibodies (mAbs), and ligand traps targeting the formation of FGF-FGFR complex are in preclinical or early development phases. Moreover, there are numerous studies in the literature reporting the application of phage display technology for the development of peptides and proteins capable of functioning as FGF mimetics or traps, which are able to modulate FGF-related signaling pathways. In this review, prominent research in relation to phage display-assisted ligand identification for the FGF/FGFR system is discussed.

Purpose: TNF-α is an inflammatory cytokine with a key role in initiation of inflammatory responses. Anti-TNF-α antibodies are being used in clinic for the purpose of diagnosis and treatment due to their high specificity. The objective of the current study was to express and purify an anti-TNF-α scFv antibody identified by phage display technology. Methods: The DNA coding sequence of the identified scFv was cloned into pET28a vector and the corresponding protein was expressed as 6×His tagged using E.coli BL21 (DE3) pLysS expression system followed by affinity purification on Ni-Sepharose affinity column. Results: The J44 scFv antibody was cloned into the expression vector and successfully expressed and purified. The purity of the scFv fraction was confirmed using SDS-PAGE analysis. Western blotting technique was used to detect expression of 6×His tagged protein. Conclusion: In the current study an anti-TNF-α scFv antibody was successfully expressed in bacterial expression system and purified on affinity column. The purified protein can be used in different in vitro and in vivo experiments in order to elucidate its functionality.

Purpose: Tumor necrosis factor alpha (TNF-α) is an inflammatory cytokine, involved in both physiological and pathological pathways. Because of central role of TNF-α in pathogenesis of inflammatory diseases, in the current study, we aimed to identify novel scFv antibodies against TNF-α using phage display technology. Methods: Using libraries composed of phagemid displaying scFv antibodies, four rounds of biopanning against TNF-α were carried out, which led to identification of scFvs capable of binding to TNF-α. The scFv antibody with appropriate binding affinity towards TNF-α, was amplified and used in ELISA experiment. Results: Titration of phage achieved from different rounds of biopanning showed an enrichment of specific anti-TNF-α phages during biopanning process. Using ELISA experiment, a binding constant (Kd) of 1.11 ± 0.32 nM was determined for the phage displaying J48 scFv antibody. Conclusion: The findings in the current work revealed that the identified novel scFv antibody displayed at the N-terminal of minor coat proteins of phagemid binds TNF-α with suitable affinity. However, the soluble form of the antibody is needed to be produced and evaluated in more details regarding its binding properties to TNF-α.

 Single-chain antibodies  Recombinant protein expression  Inclusion bodies  Growth optimization  Escherichia coli  Tumor necrosis factor-alpha Abstract Purpose: The bacterial cultivation conditions for obtaining anti-TNF-α single chain variable fragment (scFv) antibody as the soluble product in E. coli was investigated. Methods: To avoid the production of inclusion bodies, the effects of lactose, IPTG, incubation time, temperature, shaking protocol, medium additives (Mg +2 , sucrose), pH, osmotic and heat shocks were examined. Samples from bacterial growth conditions with promising results of soluble expression of GST-hD2 scFv were affinity purified and quantified by SDS-PAGE and image processing for further evaluation. Results: The results showed that cultivation in LB medium under induction by low concentrations of lactose and incubation at 10 °C led to partial solubilization of the expressed anti-TNF-α scFv (GST-hD2). Other variables which showed promising increase in soluble expression of GST-hD2 were osmotic shock and addition of magnesium chloride. Furthermore, addition of sucrose to medium suppressed the expression of scFv completely. The other finding was that the addition of sorbitol decreased the growth rate of bacteria. Conclusion: It can be concluded that low cultivation temperature in the presence of low amount of inducer under a long incubation time or addition of magnesium chloride are the most effective environmental factors studied for obtaining the maximum solubilization of GST-hD2 recombinant protein.

Tumor necrosis factor alpha (TNF-α) is an inflammatory cytokine, involved in both physiological and pathological pathways. Although there have been various attempts to express and purify human TNF-α, the current work introduces a simple, rapid, and efficient method for its production without loss of biological activity. The protein was expressed based on GST-tagged fusion system in Escherichia coli under optimized condition. The expressed GST fusion protein was applied to glutathione affinity column and then, TNF-α was cleaved off the GST using thrombin protease. The purity of the product was more than 95% and further size exclusion chromatography slightly improved the purity. The purified human TNF-α was tested for its biological activity and structural analysis, using MTT assay (EC(50) of 4.1 ×10E-12 M in L929 cell death assay) and circular dichroism spectropolarimetry, respectively. The results showed that the method used in this study enables successful production of highly purified and fully functional TNF-α.

G protein-coupled receptors (GPCRs) constitute the largest superfamily of integral membrane proteins (IMPs) and they tremendously contribute in the flow of information into cells. In this study, the random forest (RF) and the subtractive fuzzy c-means clustering (SBC) methods have been used to determine the importance of input variables and discriminate GPCRs from non-GPCRs using twenty amino acid and fifty pseudo amino acid compositions derived from GPCR sequences. The studied dataset was retrieved from the UniProt/SWISSPROT database and consists of 1000 GPCR and 1000 non-GPCR reviewed sequences. The top ranked RF-SBC-based model discriminates GPCRs and non-GPCRs successfully with the accuracy, sensitivity, specificity and Matthew's coefficient correlation (MCC) rates of 99.15%, 99.60%, 98.70% and 0.983%, respectively. These rates were obtained from averaged values of 5-fold cross validation using only twenty four out of fifty pseudo amino acid composition features. The results show that the proposed RF-SBC-based model outperforms other existing algorithms in terms of the evaluated performance criteria. The webserver for the proposed algorithm is available at http://brcinfo.shinyapps.io/GPCRIden.

Influenza is a highly contagious respiratory tract disease and is considered a serious community health problem. Influenza viruses possess multiple conserved epitopes which are used for designing universal vaccines. To this aim, the gene coding for N-terminal part of M2e (SLLTEVET) and HA2 (GLFGAIAGF), was synthesized, linked by a (Gly4Ser)4 peptide linker, and cloned into pGS-21a vector. Afterwards, the construct was transferred into E. coli BL21 (DE3) cells to produce the designed antigenic protein called M2e-HA2. Immunization of mice with these peptides significantly induced humoral immune responses against the influenza virus. Three weeks after the last booster, mice were inoculated intranasally with 1 × 106 EID50 of H9N2 virus. The results indicated that the recombinant M2e-HA2 fusion protein could protect mice against H9N2 virus.

Currently, modified Fe3O4 magnetic nanoparticles frequently are used as nanocarriers for proteins and enzymes purification. In the present study, Fe3O4 magnetic nanoparticles were prepared, and their surfaces were modified with p-aminophenol affinity ligand immobilized by different linkers. The modified nanocarriers were used for the purification of α-amylase from the bovine milk (after precipitation the casein) by affinity purification. To evaluate the effectiveness of the p-aminophenol modified magnetic nanocarriers, the three different types of nanocarriers with different linkers having varying lengths were prepared. All nanocarriers were characterized and validated using FT-IR, SEM, EDX, VSM and XRD analysis methods According to our results, p-aminophenol ligand attached to the nanocarrier by long linkers better separates the α-amylase from the casein free skim milk with 49.66% recovery and 48.18-fold purification efficiency. The results of this study showed that our novel magnetic nanocarriers have the capacity to be used for fast, reproducible and cost-effective purification of α-amylase.

CD24 is a heavy glycosylated protein that is overexpressed in numerous cancer and cancer stem cells. It is involved in the development, invasion, and metastasis of the cancer cells. CD24 can be considered in targeted cancer therapy as a new target. Here, phage display technology was used for the identification of novel scFv antibodies against CD24. To do so, the CD24 protein was expressed and purified from a stable transgenic CHO cell line. The cells were developed by using a CD24 encoding construct, which targets the 18S rRNA gene. The recombinant CD24 was used in the biopanning process. Four rounds of biopanning were performed with the Tomlinson J library. The polyclonal phage ELISA and DNA sequencing of the selected colonies confirmed that specific binders have been enriched during the biopanning process. Based on the DNA sequencing results, three phage-displaying scFv were obtained and their specificity to CD24 was verified in the monoclonal phage ELISA. The results showed that clone 3 (called Jd3) has the highest affinity to CD24 and also is the most abundant clone (80%) among the three clones. Therefore, Jd3 was selected for further analyses. In order to produce soluble Jd3-scFv, the phage was transfected to E. coli BL21 pLysS. Soluble Jd3 scFv was expressed and purified successfully. The soluble Jd3 scFv showed appropriate affinity to recombinant CD24 in the ELISA analysis. Also, the immunocytochemistry experiment showed that the purified Jd3 scFv can bind to the CD24 expressing A549 cells. So, the scFv may be useful in the targeted delivery of drugs or diagnostic nanoparticles to the CD24 expressing cancer cells. To the best of our knowledge, this study is the first report to identify an scFv antibody against CD24, using the phage display method.

RON (Recepteur d’Origine Nantais) tyrosine kinase receptor is a promising target for therapeutic intervention in cancer therapy. The aim of this work was identification of RON-binding peptides using phage display and computational modeling their mode of binding. A 12-mer peptide phage library was utilized to perform biopanning against RON. The RON-binding ability of the selected peptide-displaying phage and their possible binding sites were examined by ELISA. Binding modes and affinities were also predicted by docking and molecular dynamics (MD) simulation. The results of ELISA experiment showed that P6 peptide displaying phage has higher affinity for RON compared to others and its binding site is located out of ligand binding site. Docking and MD simulation results also indicated higher affinity of P6 to RON as well as its exosite-binding feature. Taken together, our data suggest a capacity for P6 peptide (FEHSLYKEMTHL) to be utilized as RON binding agent, and hence be used for various purposes, including design of drug delivery systems for transferring cytotoxic agents to RON-positive cancer cells, interfering with RON signaling, peptidomimetics design, and diagnostic imaging.

CD24 (cluster of differentiation 24) is a small heavy glycosylated protein, which is overexpressed in many cancer and some cancer stem cells and is associated with the development, invasion, and metastasis of cancer cells. The exact role of CD24 in these processes is not fully understood, however, in this article, it has been tried to present a collection of cancer-related mechanisms attributed to CD24. Based on the literature, CD24 dis-regulates different signaling pathways in various cancer cells, including; Src kinases, STAT3, EGFR, Wnt/β-catenin and MAPK. Src kinases play an important role in the signaling pathways which activate p38 MAPK and STAT3 pathways. Akt and ERK are downstream effectors of CD24-activated EGFR, which promote cell proliferation, invasion and metastasis. CD24 increases the expression of HER2 by the activation of NF-κB transcription factor. Moreover, CD24 up-regulates the expression of miR-21 oncomir through the activation of Src kinases. Identification of the details of these pathways and also new pathways will help researchers to explore new CD24 targeted therapies.

Phage display represents an important approach in the development pipeline for producing peptides and peptidomimetics therapeutics. Using randomly generated DNA sequences and molecular biology techniques, large diverse peptide libraries can be displayed on the phage surface. The phage library can be incubated with a target of interest and the phage which bind can be isolated and sequenced to reveal the displayed peptides' primary structure. In this review, we focus on the 'mechanics' of the phage display process, whilst highlighting many diverse and subtle ways it has been used to further the drug-development process, including the potential for the phage particle itself to be used as a drug carrier targeted to a particular pathogen or cell type in the body.

LIM-Homeodomain (LIM-HD) transcription factors are highly conserved in animals where they are thought to act in a transcriptional ‘LIM code’ that specifies cell types, particularly in the central nervous system. In chick and mammals the interaction between two LIM-HD proteins, LHX3 and Islet1 (ISL1), is essential for the development of motor neurons. Using yeast two-hybrid analysis we showed that the Caenorhabditis elegans orthologs of LHX3 and ISL1, CEH-14 and LIM-7 can physically interact. Structural characterisation of a complex comprising the LIM domains from CEH-14 and a LIM-interaction domain from LIM-7 showed that these nematode proteins assemble to form a structure that closely resembles that of their vertebrate counterparts. However, mutagenic analysis across the interface indicates some differences in the mechanisms of binding. We also demonstrate, using fluorescent reporter constructs, that the two C. elegans proteins are co-expressed in a small subset of neurons. These data show that the propensity for LHX3 and Islet proteins to interact is conserved from C. elegans to mammals, raising the possibility that orthologous cell specific LIM-HD-containing transcription factor complexes play similar roles in the development of neuronal cells across diverse species., Scientific Reports, 7 (1), ISSN:2045-2322

1. Flavonoids are a group of polyphenolic plant metabolites most commonly known for their antioxidant activities. They also show inhibitory activities on molybdo-flavoenzymes family of enzymes which are involved in biotransformation of some exogenous and endogenous chemicals. Most notably, aldehyde oxidase (AO), a member of this family, is responsible for metabolism of some therapeutic agents. On the other hand, there are some therapeutics which inhibit AO. As flavonoids are ubiquitous in human diet and have potential to interact with AO, it is important to investigate their effects at the molecular details. 2. The inhibitory effects of 15 flavonoids on the activity of rat liver AO were assessed. Quantitative structure-activity relationship studies were performed using genetic algorithm coupled partial least square and stepwise multiple linear regression methods to elucidate the important structural properties responsible for the observed inhibitory effects. To further understand the mode of interaction between these flavonoids and AO, a homology model of the enzyme was built and flavonoids were docked into its active site. The most important amino acids involved in the interactions were identified. 3. Quercetin, myricetin and genistein were the most potent inhibitors establishing favorable interactions with the enzyme. However, the glycosylated flavonoids showed relatively weaker inhibition which may be attributed to their hindered binding into the active site of AO by bulky sugar groups.

A novel series of 5-(5-nitrofuran-2-yl)-1,3,4-thiadiazol-2-amines were synthesized by introducing N -[(1-benzyl-1 H -1,2,3-triazol-4-yl)methyl] moiety as a new functionality on the C-2 amine of thiadiazole ring via click chemistry. The title compounds namely, N -[(1-benzyl-1 H -1,2,3-triazol-4-yl)methyl]-5-(5-nitrofuran-2-yl)-1,3,4-thiadiazol-2-amines ( 3a – n ) were characterized by IR, NMR and MS spectra. These compounds were evaluated for their in vitro anti-leishmanial activity against promostigote form of the Leishmania major . Most compounds exhibited good anti-leishmanial activity against the promastigote form of L. major . The most active compound against promostigotes was found to be 4-methylbenzyl analog 3i , which significantly decreases the number of intracellular amastigotes per macrophage, percentage of macrophage infectivity and infectivity index.

Peptide phage display, a powerful method for ligand identification, was used to identify new peptide ligands for epidermal growth factor receptor. A-431 cells expressing epidermal growth factor receptor were used as the matrix in a cell-based subtractive biopanning approach using a 7-mer peptide displaying phage library. Two novel peptide ligands were identified and tested for their affinities and functional effects on epidermal growth factor receptor. The identified peptides were able to inhibit the epidermal growth factor-induced phosphorylation of epidermal growth factor receptor in a concentration-dependent manner. The results of affinity binding experiments showed that the natural ligand, that is epidermal growth factor, was able to inhibit competitively the binding of peptide-bearing phage to epidermal growth factor receptor expressing A-431 cells. Molecular modeling studies were used to calculate the free energies for the binding of peptides to the receptor-binding site as well as proposing the interaction modes for this binding. The calculated values for the binding energies were found to be similar to our experimental data and those of previously reported studies.

The prostanoid receptor EP1 is a G-protein-coupled receptor (GPCR) known to be involved in a variety of pathological disorders such as pain, fever and inflammation. These receptors are important drug targets, but design of subtype specific agonists and antagonists has been partially hampered by the absence of three-dimensional structures for these receptors. To understand the molecular interactions of the PGE2, an endogen ligand, with the EP1 receptor, a homology model of the human EP1 receptor (hEP1R) with all connecting loops was constructed from the 2.6 Å resolution crystal structure (PDB code: 1L9H) of bovine rhodopsin. The initial model generated by MODELLER was subjected to molecular dynamics simulation to assess quality of the model. Also, a step by step ligand-supported model refinement was performed, including initial docking of PGE2 and iloprost in the putative binding site, followed by several rounds of energy minimizations and molecular dynamics simulations. Docking studies were performed for PGE2 and some other related compounds in the active site of the final hEP1 receptor model. The docking enabled us to identify key molecular interactions supported by the mutagenesis data. Also, the correlation of r2=0.81 was observed between the Ki values and the docking scores of 15 prostanoid compounds. The results obtained in this study may provide new insights toward understanding the active site Sci Pharm. 2011, 79: 793–816 conformation of the hEP1 receptor and can be used for the structure-based design of novel specific ligands.

Rhodopsin was the first G protein-coupled receptor (GPCR) for which a high-resolution crystal structure was obtained. Several crystal structures have now been solved representing different activation states of the receptor. These structures, together with those from lower resolution techniques (e.g. electron microscopy), shed light on the stepwise process by which energy from an extracellular photon is transduced across the membrane to the intracellular compartment thereby activating signalling mechanisms responsible for very low-level light detection. Controversy remains in several areas including: (i) transmembrane helix movements responsible for the transduction process, (ii) the stoichiometry of coupling to G proteins and their mode of activation, (iii) the role, if any, of receptor oligomerisation and (iv) the suitability of using structures of this GPCR as templates for modelling the structures of other GPCRs, and their mechanisms of activation.

Histamine H3 receptors are presynaptic autoreceptors found in both central and peripheral nervous systems of many species. The central effects of these receptors suggest a potential therapeutic role for their antagonists in treatment of several neurological disorders such as epilepsy, schizophrenia, Alzheimer's and Parkinson's diseases. The purpose of this study was to identify the structural requirements for H3 antagonistic activity via quantitative structure–activity relationship (QSAR) studies and receptor modeling/docking techniques. A combination of partial least squares (PLS) and genetic algorithm (GA) was used in the QSAR approach to select the structural descriptors relevant to the receptor binding affinity of a series of 58 H3 antagonists. The descriptors were selected out of a pool of >1000 descriptors calculated by DRAGON, Hyperchem and ACD labs suite of programs. The resulting QSAR models for rat and human H3 binding affinities were validated using different strategies. QSAR models generated in the current work suggested the role of charge transfer interactions in the ligand–receptor interaction verified using the molecular modeling of the receptor and docking two antagonists to the binding site. The 3D model of human H3 receptor was built based on bovine rhodopsin structure and evaluated by molecular dynamics (MD) simulation in a mixed water–vacuum–water environment. The results were indicative of the stability of the model relating the observed structural changes during the MD simulation to the suggested ligand–receptor interactions. The results of this investigation are expected to be useful in the process of design and development of new potent H3 receptor antagonists.

Alpha-helical integral-membrane proteins (IMPs) play a key role in many biological processes, such as signal transduction, and are targets for >50% of current therapeutic drugs. In contrast to their significant abundance and biological importance, they comprise

DOF (DNA-binding with one finger) proteins, a family of DNA-binding transcription factors, are members of zinc fingers unique to plants. They are associated with different plant specific phenomena including germination, dormancy, light and defense responses. Until now, there is no report of experimentally solved structure for DOF proteins, making empirical investigation of DOF-DNA interaction more challenging. It has been shown that comparative modeling can be used to reliably predict the three-dimensional (3D) model of structurally unknown proteins whenever a suitable template is available. Furthermore, current molecular mechanics force fields allow prediction of interaction energies for macromolecular complexes. Therefore, the approaches considered in this work were to model the 3D structures of DOF zinc fingers (ZFs) from Arabidopsis thaliana complexed with DNA molecule, to calculate their binding energies, to identify key interactions established between ZFs and DNA, and to determine the impact of the different interactions on the binding energies. The results were used to predict the binding affinities for the novel designed ZFs and may be used in engineering DNA binding proteins.

Galanin and its newly discovered relative galanin-like peptide (GALP) are neuropeptides that are implicated in the neuroendocrine regulation of body weight and reproduction. GALP encompasses within its sequence the first 13 residues of galanin, known to be crucial to binding and activation of galanin receptor (GalR) subtypes. Using 2D-NMR and circular dichroism spectroscopy we demonstrated that GALP does not adopt a preferred conformation in pure water alone. However, it shows characteristics of transient turn-like structures in two distinct regions of its sequence, 11-23 and 41-49. These transient ordered structures, nascent helices, probably form stable helical structures upon addition of the helix-inducing solvent, trifluoroethanol, as determined by circular dichroism studies. Secondary structure prediction methods also predict the presence of two helical regions in the sequence of GALP overlapping reasonably with those regions identified as nascent helical structures by experimental methods.

G protein-coupled receptors (GPCR) are activated by a diverse array of extracellular signals, ranging from light to polypeptide molecules. The receptors propagate these signals intracellularly using G protein secondary messenger pathways. A common feature in the architecture of these receptors is their seven transmembrane domains. The first crystal structure of a GPCR, bovine rhodopsin, has recently been solved at 2.8 A. We compared the seven membrane-spanning helices (TMH) from the crystal structure of bovine rhodopsin with those from the low-resolution model of bovine rhodopsin based on the cryo-electron microscopy structure of frog rhodopsin developed by Dr Joyce Baldwin. The model developed by Baldwin used a consensus sequence approach to predict the rotational position of each helix with respect to the other six helices. Superposition of the entire helix bundle of the Baldwin model with the crystal structure gave a RMS difference (RMSD) of 3.2 A for the 198 C f atoms which suggests a high level of si...

A novel series of 5-(5-nitrofuran-2-yl)-and 5-(5-nitrothiophen-2-yl)-1,3,4-thiadiazole-2-amines bearing acyclic amine at C-2 position of thiadiazole ring were synthesized and evaluated in vitro against promastigote and amastigote forms of Leishmania major. The structure-activity of series was investigated by studying 40 compounds. The most active derivatives were hydroxypropylamino- and methoxypropylamino- analogs of 5-(5-nitrothiophen-2-yl)-1,3,4-thiadiazole (compounds 29 and 32, respectively) with highest selectivity index (SI >12).

LIM-only protein 2, Lmo2, is a regulatory protein that is essential for hematopoietic development and inappropriate overexpression of Lmo2 in T-cells contributes to T-cell leukemia. It exerts its functions by mediating protein-protein interactions and nucleating multicomponent transcriptional complexes. Lmo2 interacts with LIM domain binding protein 1 (Ldb1) through the tandem LIM domains of Lmo2 and the LIM interaction domain (LID) of Ldb1. Here, we present the solution structure of the LIM2 domain of Lmo2 bound to Ldb1(LID) . The ordered regions of Ldb1 in this complex correspond well with binding hotspots previously defined by mutagenic studies. Comparisons of this Lmo2(LIM2) -Ldb1(LID) structure with previously determined structures of the Lmo2/Ldb1(LID) complexes lead to the conclusion that modular binding of tandem LIM domains in Lmo2 to tandem linear motifs in Ldb1 is accompanied by several disorder-to-order transitions and/or conformational changes in both proteins.

Proteins are the workhorses of biomolecules and their function is affected by their structure and their structural rearrangements during ligand entry, ligand binding and protein–protein interactions. Hence, the knowledge of protein structure and, importantly, the dynamic behaviour of the structure are critical for understanding how the protein performs its function. The predictions of the structure and the dynamic behaviour can be performed by combinations of structure modelling and molecular dynamics simulations. The simulations also need to be sensitive to the constraints of the environment in which the protein resides. Standard computational methods now exist in this field to support the experimental effort of solving protein structures. This review presents a comprehensive overview of the basis of the calculations and the well-established computational methods used to generate and understand protein structure and function and the study of their dynamic behaviour with the reference to lung-related targets.

Background G protein-coupled receptors (GPCRs) are abundant, activate complex signalling and represent the targets for up to ~60% of pharmaceuticals but there is a paucity of structural data. Bovine rhodopsin is the first GPCR for which high-resolution structures have been completed but significant variations in structure are likely to exist among the GPCRs. Because of this, considerable effort has been expended on developing in silico tools for refining structures of individual GPCRs. We have developed REPIMPS, a modification of the inverse-folding software Profiles-3D, to assess and predict the rotational orientation and vertical position of helices within the helix bundle of individual GPCRs. We highlight the value of the method by applying it to the Baldwin GPCR template but the method can, in principle, be applied to any low- or high-resolution membrane protein template or structure. Results 3D models were built for transmembrane helical segments of 493 GPCRs based on the Baldwin template, and the models were then scored using REPIMPS and Profiles-3D. The compatibility scores increased significantly using REPIMPS because it takes into account the physicochemical properties of the (lipid) environment surrounding the helix bundle. The arrangement of helices in the helix bundle of the 493 models was then altered systematically by rotating the individual helices. For most GPCRs in the set, changes in the rotational position of one or more helices resulted in significant improvement in the compatibility scores. In particular, for most GPCRs, a rotation of helix VII by 240–300° resulted in improved scores. Bovine rhodopsin modelled using this method showed 3.31 Å RMSD to its crystal structure for 198 Cα atom pairs, suggesting the utility of the method even when starting with idealised structures such as the Baldwin template. Conclusion We have developed an in silico tool which can be used to test the validity of, and refine, models of GPCRs with respect to helix rotation and vertical position based on the physicochemical properties of amino acids and the surrounding environment. The method can be applied to any multi-pass membrane protein and potentially can be used in combination with other high-throughput methodologies to generate and refine models of membrane proteins.

Phage display technology could provide a rapid means for the discovery of novel peptides and proteins from genetically engineered variants which may act as specific vehicles for drug delivery particularly through the intestinal barrier. In this work, we utilized in vivo phage display in order to study the sequences which may be responsible for transmucosal transport. We hypothesized that the introduction of a library of peptide displaying phages into the intestine may lead to the identification of sequences that could induce transport. A biopanning protocol was performed by applying a 7-mer random amino acid phage library to mice by gavage and then assessing their absorption via phage recovery from the spleen and blood. Following the isolation of 77 different phages, the sequences of the displayed peptides were identified. Statistical treatment of the obtained sequences did not support the notion that the GI translocation depends on the presence of any particular peptide sequence fused on the pIII coat proteins of the M13 phages. There are, however, some residue types underrepresented which could be due to specific GI selection mechanisms and/or their effects on the amplification rate for phages bearing those residues.

The Profiles-3D application, an inverse-folding methodology appropriate for water-soluble proteins, has been modified to allow the determination of structural properties of integral-membrane proteins (IMPs) and for testing the validity of solved and model structures of IMPs. The modification, known as reverse-environment prediction of integral membrane protein structure (REPIMPS), takes into account the fact that exposed areas of side chains for many residues in IMPs are in contact with lipid and not the aqueous phase. This (1) allows lipid-exposed residues to be classified into the correct physicochemical environment class, (2) significantly improves compatibility scores for IMPs whose structures have been solved, and (3) reduces the possibility of rejecting a three-dimensional structure for an IMP because the presence of lipid was not included. Validation tests of REPIMPS showed that it (1) can locate the transmembrane domain of IMPs with single transmembrane helices more frequently than a range of other methodologies, (2) can rotationally orient transmembrane helices with respect to the lipid environment and surrounding helices in IMPs with multiple transmembrane helices, and (3) has the potential to accurately locate transmembrane domains in IMPs with multiple transmembrane helices. We conclude that correcting for the presence of the lipid environment surrounding the transmembrane segments of IMPs is an essential step for reasonable modeling and verification of the three-dimensional structures of these proteins.