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Aim: The rapid emergence of β-lactam resistance in gram-negative bacteria is a major problem in the treatment of infections caused by pathogenic bacterial strains, in particular Klebsiella pneumoniae. In our study, we are presenting a systems biology approach to understand the role of SHV-11 gene in drug resistance mechanism patterns in K. pneumoniae strain. Results: From the results, we have observed that the SHV-11 gene has a role in drug resistance mechanism along with its functional partner genes gyrA, parC, glsA, osmE, yjhA, yhdT, rimL, pepB, KPN_00437, and KPN_01875. We have also observed that of 51 genes, 27 genes were enriched in various Gene Ontology terms such as DNA metabolic process, DNA repair, and response to stress. The genes gyrA, parC, gyrB, parE, recA, dnaA, polB, dnaK, mutS, and dnaN constitute >41% of the total interactions; thus, these genes can be considered as hub nodes in the network, and they can be used as the potential drug targets. Conclusions: Drug exposure leads to the DNA damage in bacterial spp. We observed that the SHV11 gene along with the functional partners help in maintaining the genomic integrity by withstanding the environmental stress by inducing DNA damage repair mechanism. Our results provide a detailed understanding on the role of SHV-11 gene in drug resistance mechanisms in K. pneumoniae, and we are of the opinion that our results will be useful for researchers exploring the antibiotic resistance mechanisms in pathogenic bacteria.

The emergence of multidrug resistance (MDR), extensively drug-resistant, and total drug-resistant Mycobacterium tuberculosis (Mtb) strains have hampered the treatment of tuberculosis (TB). Capreomycin and Bedaquiline are currently used for MDR-TB treatment. To understand the impact of these antibiotics on Mtb genes, we have curated the gene expression data where the Mtb cultures were exposed to the Bedaquiline and Capreomycin. Based on the P value cut off (0.05) and logFC (-0.5 and+0.5) values, we have selected the top differentially expressed genes during the antibiotic exposures. We have observed that the top differentially expressed Mtb genes were related to universal stress genes, two-component regulatory systems, and drug efflux pumps. We have curated the Mtb gene datasets and carried out the functional over-representation analysis using the individual gene expression values. We further, constructed the gene interaction networks of antibiotic resistance genes and virulence genes of Mtb to understand the impact of the antibiotics at the molecular level and thus to understand the antimicrobial resistance and virulence patterns. Our study elucidates the impact of antibiotics on the Mtb genes at the molecular level and the positively enriched pathways, operons, and regulons data are helpful in understanding the resistance patterns in Mtb. The upregulated genes during the exposure of Bedaquiline and Capreomycin can be considered as potent drug targets for the development of new anti-TB drugs.

In the era where issue of antibiotic resistance is increasing at an alarming rate and resistance to most antibiotics has occurred, carbapenems have been the choice of drug against most infection because of its unique structure. However due to lack of antibiotic policy carbapenems too have achieved resistance and led to the emergence of carbapenem resistant Enterobacteriaceae (CRE). Members of Enterobacteriaceae family produce New Delhi metallo-beta-lactamase (NDM), a type of carbapenemase that can cleave carbapenems. Therefore, new anti-microbial targets need to be identified and for this purpose a holistic model is designed in this approach in order to find out the influential genes that are liable in imparting carbapenem resistance owing to the presence of NDM. In this research approach, firstly genes associated with resistance owing to NDM are collected from NCBI database. A total of 419 genes from E. coli that have been obtained from NCBI were subjected to STRING for protein-protein interaction analysis. Out of 419 genes, only 59 genes showed interaction. STRING gave 1679 functional partners at different confidence levels. In the next stage, clustering analysis of the 1679 functional partners was done using MCODE app of Cytoscape software which generated 71 clusters. Topological properties of the 804 functional partners obtained from the 71 clusters were done using Network Analyser plugin of Cytoscape software. 797 functional partners were streamlined and they were subjected to functional enrichment analysis by DAVID Database. This database finally gave 21 genes from 15 clusters, thus indicating that these 15 genes might have a crucial role in the development of carbapenem resistance owing to NDM. These genes can be targeted for designing new anti-microbial drugs in future by the way of gene silencing or altering the genetic expression.

Klebsiella pneumoniae (K. pneumoniae) is a Gram-negative bacterium, which is a leading causal agent for nosocomial infections. Penicillin, cephalosporin and carbapenems along with the inhibitors such as tazobactam, sulbactam and clavulanic acid are prescribed for the treatment of K. pneumoniae infections. Prolonged exposure to β-lactam antibiotics leads to the development of resistance. The major reason for the β-lactam resistance in K. pneumoniae is the secretion of the enzyme K. pneumoniae carbapenemase (KPC). Secretion of KPC-2 and its variant KPC-3 by the K. pneumoniae strains causes resistance to both the substrate imipenem and the β-lactamase inhibitors. Hence, molecular docking and dynamics studies were carried out to analyze the resistance mechanism of KPC-2-imipenem and KPC-3-imipenem at the structural level. It reveals that KPC-3-imipenem has the highest c-score value of 4.03 with greater stability than the KPC-2-imipenem c-score value of 2.36. Greater the interaction between the substrate and the β-lactamase enzyme, higher the chances of hydrolysis of the substrate. Presently available β-lactamase inhibitors are also ineffective against KPC-3-expressing strains. This situation necessitates the need for development of novel and effective inhibitors for KPC-3. We have carried out the virtual screening process to identify more effective inhibitors for KPC-3, and this has resulted in ZINC48682523, ZINC50209041 and ZINC50420049 as the best binding energy compounds, having greater binding affinity and stability than KPC-3-tazobactam interactions. Our study provides a clear understanding of the mechanism of drug resistance and provides valuable inputs for the development of inhibitors against KPC-3 expressing K. pneumoniae. Communicated by Ramaswamy H. Sarma.

BAG3, a co-chaperone protein with a Bcl-2-associated athanogene (BAG) domain, has diverse functionalities in protein-folding, apoptosis, inflammation, and cell cycle regulatory cross-talks. It has been well characterised in cardiac diseases, cancers, and viral pathogenesis. The multiple roles of BAG3 are attributed to its functional regions like BAG, Tryptophan-rich (WW), isoleucine-proline-valine-rich (IPV), and proline-rich (PXXP) domains. However, to study its structural impact on various functions, the experimental 3D structure of BAG3 protein was not available. Hence, the structure was predicted through in silico modelling and validated through computational tools and molecular dynamics simulation studies. To the best of our knowledge, the role of BAG3 in bacterial infections is not explicitly reported. We attempted to study them through an in-silico protein-protein interaction network and host-pathogen interaction analysis. From structure-function relationships, it was identified that the WW and PXXP domains were associated with cellular cytoskeleton rearrangement and adhesion-mediated response, which might be involved in BAG3-related intracellular bacterial proliferation. From functional enrichment analysis, Gene Ontology terms and topological matrices, 18 host proteins and 29 pathogen proteins were identified in the BAG3 interactome pertaining to Legionellosis, Tuberculosis, Salmonellosis, Shigellosis, and Pertussis through differential phosphorylation events associated with serine metabolism. Furthermore, it was evident that direct (MAPK8, MAPK14) and associated (MAPK1, HSPD1, NFKBIA, TLR2, RHOA) interactors of BAG3 could be considered as therapeutic markers to curb down intracellular bacterial propagation in humans.

Background The issue of carbapenem resistance in E.coli is very concerning and it is speculated that cumulative effect of both primary resistance genes and secondary resistance genes that act as helper to the primary resistance genes are the reason behind their aggravation. Therefore, here we attempted to find the role of two secondary resistance genes (SRG) ccdB and repA2 in carbapenem resistance in E. coli (CRE). In this context influential genes belonging to secondary resistome that act as helper to the primary resistance genes like blaNDM and blaCTX-M in aggravating β-lactam resistance were selected from an earlier reported in silico study. Transcriptional expression of the selected genes in clinical isolates of E.coli that were discretely harboring blaNDM-1, blaNDM-4, blaNDM-5, blaNDM-7 and blaCTX-M-15 with and without carbapenem and cephalosporin stress (2 μg/ml) was determined by real time PCR. Cured mutants sets that were lacking (i) primary resistance genes, (ii) secondary resistance genes and (iii) both primary and secondary resistance genes were prepared by SDS treatment. These sets were then subjected to antibiotic susceptibility testing by Kirby Bauer disc diffusion method. Results Out of the 21 genes reported in the in silico study, 2 genes viz.repA2 and ccdB were selected for transcriptional expression analysis. repA2, coding replication regulatory protein, was downregulated in response to carbapenems and cephalosporins. ccdB, coding for plasmid maintenance protein, was also downregulated in response to carbapenems except imipenem and cephalosporins. Following plasmid elimination assay increase in diameter of zone of inhibition under stress of both antibiotics was observed as compared to uncured control hinting at the reversion of antibiotic susceptibility by the-then resistant bacteria. Conclusion SRGs repA2 and ccdB help sustenance of blaNDM and blaCTX-M under carbapenem and cephalosporin stress.

Background Cardiovascular Disease (CVD) is one of the most common causes of mortality in humans. Presently, the role of pathogens in the initiation and progression of the CVDs is not clearly understood. Hence, it is essential to understand the molecular-level interactions between the human proteins and the microbial proteins to deduce their functional roles in the CVDs. Method The host-pathogen interactions (HPI) related to CVDs in the case of E. coli str. O157:H7 colonization were curated, and also the protein-protein interactions (PPI) between humans and E. coli were collected. Gene interaction network (GIN) and functional enrichment analyses (FEA) were utilized for this. Results The GIN revealed dense interactions between the functional partners. The FEA indicated that the essential pathways played a significant role in humans as well as in E. coli. The primary responses against most of the bacterial pathogens in humans are different from that of E. coli; Terpenoid biosynthesis and production of secondary metabolite pathways aid the survival of the E. coli inside the host. Interestingly, network analysis divulged that the E. coli genes ksgA, rpsT, ispE, rpsI, ispH, and the human genes TP53, CASP3, CYCS, EP300, RHOA communicated by significant numbers in direct interactions. Conclusions The results obtained from the present study will help researchers understand the molecular-level interactions in the CVDs between the human and the E. coli genes. The important genes with vital interactions can be considered as hub molecules and can be exploited for new drug discovery.

No commercially available drug candidate has yet been devised which is unique to and not repurposed against SARS-CoV-2 and has high efficacy or safe toxicity profile or both. Taking curcumin as a reference compound, we identified a new commercially available cyclohexanone compound, ZINC07333416 with binding energy (−8.72 kcal/mol) better than that of popularly devised anti-Covid-19 drugs like viral protease inhibitor Lopinavir, nucleoside analogue Remdesivir and the repurposed drug hydroxychloroquine when targeted to the active-site of SARS-CoV-2 Main protease (Mpro) through docking studies. The ligand ZINC07333416 exhibits crucial interactions with major active site residues of SARS-CoV-2 Mpro viz. Cys145 and His41 involving in the protease activity; as well as GLU-166 and ASN-142 which plays the pivotal role in the protein-dimerization. The protein-ligand stable interaction was further confirmed with molecular dynamics simulation (MDS) studies. Based on virtual assessment, ZINC07333416 also have significant values in terms of medicinal chemistry, pharmacokinetics, synthetic accessibility and anti-viral activity that encourage its experimental applications against COVID-19., Highlights •We screened commercially available compounds with curcumin as a reference to specifically pertain to the anti-viral potential and safe toxicity profile of the later. •We checked the binding properties of lead compound and previously reported compounds against SARS-CoV-2 Mpro, besides comparing their pharmacological and toxicity profile. A novel cyclohexanone compound was identified with favourable drug attributes and eliciting stable molecular interactions with SARS-CoV-2 Mpro.

The coronavirus disease (COVID-19) is resulting in millions of infected individuals with several hundred thousands dead throughout the world. Amidst all the havoc, one interesting observation in the present COVID-19 pandemic is the negligible symptoms in the young; particularly children below 10 years of age. We assume the extensive pediatric vaccination with MMR vaccines followed globally could have resulted in innate immune responses, e.g., induction of interferons (IFNs) and activated natural killer (NK) cells, thereby offering natural immunity against SARS-CoV-2 in the young population. Possible cross-protective innate immunity offered by MMR vaccination prompted us to suggest repurposing MMR vaccination for immuno-prophylaxis against COVID-19.

Proteus mirabilis is one among the most frequently identified pathogen in patients with the urinary tract infection. The multidrug resistance exhibited by P. mirabilis renders the treatment ineffective, and new progressive strategies are needed to overcome the antibiotic resistance (AR). We have analyzed the evolutionary relationship of 29 P. mirabilis strains available in the National Center for Biotechnology Information-Genome database. The antimicrobial resistance genes of P. mirabilis along with the enriched pathways and the Gene Ontology terms are analyzed using gene networks to understand the molecular basis of AR. The genes rpoB, tufB, rpsl, fusA, and rpoA could be exploited as potential drug targets as they are involved in regulating the vital functions within the bacterium. The drug targets reported in the present study will aid researchers in developing new strategies to combat multidrug-resistant P. mirabilis.

In the present study, we have explored the anti-malarial potential of epoxyazadiradione, the natural entity extracted from the neem seed oil and its chemical derivatives, against Plasmodium falciparum. The Surflex dock analysis of 41 compounds against an indispensable target, plasmepsin I (PM-I) revealed that around 70% of the compounds are found to have good binding capacity with the consensus score (C-score) of 5 to 4 with few hydrogen bonds. To elucidate the major structural requirements, vital for binding with the plasmepsin enzyme and to develop the predictive models, three-dimentional quantitative structural activity relationship (3D-QSAR) - comparative molecular field analysis (CoMFA) was carried out using Sybyl X.0. Robust and predictive models were obtained with cross-validated correlation coefficient (q2) value of 0.967 and the non-cross-validated correlation coefficient (r2) value of 0.825, which were validated by an external test set with the predictive correlation coefficient r2(pred) values of 0.773. Three zones were identified for substitution with bulky groups and one zone for substitution with non-bulky groups. Three positions favouring the electronegative group substitution and one for the electropositive group substitution were identified. The physicochemical properties of ligands with the highest C-score were studied. Communicated by Ramaswamy H. Sarma.

The complex and heterogeneous nature of neuroblastoma poses a great challenge to the scientific community for developing an effective therapeutic drug. Neuroblastoma tumors show relapse and resistance to available drugs and it is proving to be an obstacle for efficient treatment options. The tumor accounts for about 7% of the malignancies worldwide and is seen mostly in children around one year. Our present study aims to understand various mechanisms underlying Neuroblastoma. The gene interaction network of 92 Neuroblastoma related genes along with a total of 339 functional interactions are used for the gene interaction network construction and analysis. The clustering analysis resulted in four densely interconnected gene clusters. We further performed functional enrichment analysis and found important pathways associated with neuroblastoma in PI3K/AKT pathway, MAPK pathway, Ras pathway, Rap1 pathway, Cytokine- cytokine interaction, Neurotrophin signaling, EGFR tyrosine kinase inhibitor resistance, and VEGF signaling pathways. The predominant genes involved in the enriched pathways are ANGPT2, FGF2, NGFR, NTRK1, NTRK2, PDGFC, TGFA, TP53, VEGFB, VEGFC, BDNF, NRAS, and VEGFA. The topological parameter analysis has shown the genes with more direct interactions are considered as the hub genes and are important in the network. The genes TP53, VEGFA, BDNF, MYCN, and FGF2 with the maximum number of functional interactors, can be used as potential therapeutic targets for Neuroblastoma. The results obtained in our study will be helpful for researchers in better understanding the molecular level associations during the Neuroblastoma progression.

Ten important plant parts routinely used in South Indian ethnic food preparation as spices and condiments were investigated for their potential antidyslipidemic properties. The aim of the study was to characterize the biochemical properties of the polyherbal formulation (nutritional supplement) and evaluate its use to control dyslipidemia in patients. Phytochemical evaluation, in vitro α-amylase inhibitory assay, and high performance thin layer chromatography (HPTLC) fingerprinting were carried out with alcoholic extracts of all 10 individual plants and with the nutritional supplement. Investigation in human volunteers was conducted to evaluate the effect on dyslipidemia as measured by serum lipid biomarkers. Sixty-five volunteers were recruited for this study. Biomarker values at baseline and at 6th visit (end of review, 8/9 months) were compared to assess the usefulness of the nutritional supplement in the normalization of lipid biomarkers. In the qualitative analysis of metabolites, the results revealed the presence of various bioactive primary and secondary metabolites that might be responsible for their medicinal attributes. In human volunteers, after supplement intake along with standard therapy, we observed significant decrease in serum cholesterol, triglyceride, low-density lipoprotein (LDL), and very low-density lipoprotein (VLDL) levels. High-density lipoprotein (HDL) level did not change in test patient volunteers. Reductions in hemoglobin A1C (HBA1C) and postprandial blood sugar levels were observed; the difference was not statistically significant. We believe that the polyherbal formulation of 10 medicinal plants has potent antidyslipidemic activity. Our results contribute for the first time toward documentation of augmented dyslipidemia control by use of the formulation.

Molecular docking of imipenem with OXA-143 CHDL of Acinetobacter baumannii. OXA-143 CHDL - imipenem complex has higher binding interaction than OXA-231 CHDL - imipenem complex. The increased binding affinity of the imipenem against OXA-143 CHDL will increase the rate of hydrolysis and leads to the resistance.Display Omitted Molecular docking and simulations are done for OXA-143 and OXA-231 CHDLs with imipenem.Imipenem has increased binding affinity with OXA-143 CHDL than OXA-231 CHDL.Molecular dynamics study reveals high stability of OXA-143 CHDL- imipenem complex.Lesser stability indicates the effectiveness of imipenem against OXA-231 CHDL. Acinetobacter baumannii (A. baumannii), is a Gram negative, coccobacilli and is associated with nosocomial infections. The bacterium has developed resistance to all known classes of antibiotics. Multi-drug resistant A. baumannii infections have been treated with the carbapenem group of antibiotics like imipenem and meropenem. Recent reports indicate that A. baumannii has acquired resistance to imipenem due to the secretion of carbapenem hydrolysing class D beta-lactamases (CHDLs). Such CHDLs found in carbapenem resistant A. baumannii belongs to OXA-143 and its variant OXA-231, which has Alanine (A) in place of Aspartic acid (D) at sequence position 224. The mutation of the OXA-231 CHDL alters the catalytic activity of the enzyme. Hence, the present study was carried out to find the probable mechanism of imipenem resistance in OXA-143 and OXA-231 (D224A) CHDLs expressing A. baumannii by employing molecular docking and dynamics. Methods Our study reveals that OXA-143 CHDL-imipenem complex has more binding affinity than OXA-231 (D224A) CHDL-imipenem complex. Our results indicate that there is a strong binding affinity of OXA-143 with imipenem when compared with OXA-243 and this mechanism might be the probable reason for imipenem resistance in OXA-143 expressing A. baumannii strains.

The antimicrobial resistance (AMR) exhibited against broad spectrum and new generation antibiotics used for Pseudomonas infections is a major threat and renders the treatment ineffective. In our present study, we have used a computational approach to understand various drug resistance mechanisms which contribute to Multi-Drug Resistance (MDR) in P. aeruginosa. The interaction network of 60 AMR genes along with the 337 functional interactions was analyzed. Functional enrichment analysis of AMR genes has shown that the genes in the network are mainly associated with efflux pump mechanisms, alginate biosynthesis, biofilm formation, and ampC beta-lactamase biosynthesis. Interestingly, the genes phoP, phoQ, and cat genes are observed to have roles in more than one drug-resistant mechanism. The genes phoP and phoQ apart from their role in two-component regulatory systems also play major roles in multidrug efflux pumps and alteration in drug target. The gene cat involves in alteration of drug target and enzymatic inactivation. The interaction network analysis has shown that the AMR genes oprJ, oprM, oprN, ampC, gyrA, mexA, oprD, mexB and nfxB have higher number of direct interactors and they are considered as the hub nodes in the network and these genes can be used as potential drug targets for developing new drugs. The results from our study will be helpful in better understanding of the antibiotic resistance mechanisms in P. aeruginosa. The gene targets reported, can be used for new drug discovery against Pseudomonas infections.

Among the list of the most dangerous superbugs, Pseudomonas aeruginosa ranks top of the table with its deadly characteristics of multi-drug resistance and ability to form biofilm during opportunistic infections to patients those are immune-compromised. MDX and XDR of this strain urged researchers to reveal better antibacterial compounds. Solanum torvum (commonly called as pea eggplant) is well known for its medicinal values however, the roots of this plant had less attention in pharmacological studies. The objective of this study is twofold. Firstly, to compare the interactions exhibited between2-Hydroxyanisole and odDHL with LasRprotein. Secondly, to explore the impact of molecule of interest on genes related to vital pathways. Three-dimensional docking studies for the two ligands were performed using surflex-dock package - Sybyl-x 2.0 whereas differentially regulated genes were identified by volcano plot, heat map prediction and KEGG pathway. It was predicted that 2-Hydroxyanisole may form three hydrogen bonds with LasR protein and revealed a decreased level of gene expression (%).After treatment with Solanum torvum Root Extract (STRE),a total of 26,418,456 reads of P. aeuroginosa were mapped to various pathways, of which, QS-regulated genes such as LasR, coIII (coxB), fliD genes along with 104 genes were down regulated. The high C Score calculated for 2-Hydroxyanisole and altered gene expression upon STRE treatment pave the pathway for designing the future in vitro experiments to validate these inhibitory effects thereby exploring the underlying mechanisms of action of 2-Hydroxyanisole to restrict the virulence of P. aeruginosa.

Fused in sarcoma (FUS) gene encodes the RNA binding protein FUS. This gene is mapped to chromosome 16p11.2. The FUS protein binds with karyopherineβ2 (Kapβ2) through its proline/tyrosine nuclear localization signal (PY-NLS) that helps in the localization of FUS protein within the nucleus. Arginine residue in 521 position (R521) of PY-NLS plays a vital role in the binding of FUS protein with Kapβ2. Mutations in this position (R521C and R521H) are the most predominant mutations associated with amyotrophic lateral sclerosis (ALS). However, the mechanism by which these mutations lead to ALS is poorly understood. We examined the binding behaviour of the mutants FUS (R521C) and FUS (R521H) with Kapβ2 through protein–protein docking and molecular dynamics simulation. The binding patterns of mutants were compared with the binding behaviour of wild FUS–Kapβ2. Our results suggest that these mutants have relatively weak binding affinity with Kapβ2 when compared with wild FUS–Kapβ2 as indicated by the lesser number of interactions found between the mutant FUS and Kapβ2. Hence, these mutations weakens the binding and this results in the cytoplasmic mislocalization of mutant FUS; and thereby it increases the severity of ALS.

The computational studies namely molecular docking simulations and Comparative Molecular Field Analysis (CoMFA) are executed on series of 52 novel aryl chalcones derivatives using Plasmodium falciparum cysteine proteases (falcipain - 2) as vital target. In the present study, the correlation between different molecular field effects namely steric and electrostatic interactions and chemical structures to the inhibitory activities of novel aryl chalcone derivatives is inferred to perceive the major structural prerequisites for the rational design and development of potent and novel lead anti-malarial compound. The apparent binding conformations of all the compounds at the active site of falcipain - 2 and the hydrogen-bond interactions which could be used to modify the inhibitory activities are identified by using Surflex-dock study. Statistically significant CoMFA model has been developed with the cross-validated correlation coefficient (q(2)) of 0.912 and the non-cross-validated correlation coefficient (r(2)) of 0.901. Standard error of estimation (SEE) of 0.210, with the optimum number of components is ten. The predictability of the derived model is examined with a test set consists of sixteen compounds and the predicted r(2) value is found to be 0.924. The docking and QSAR study results confer crucial suggestions for the optimization of novel 1,3-diphenyl-2-propen-1-one derivatives and synthesis of effective anti- malarial compounds.

Around 50 % of the world's population is at the risk of dengue, a viral infection. Presently, there are not many drugs and prophylactic measures available to control dengue viral infection, and hence, there is an urgent need to develop effective antidengue compound from natural sources. In the current study, we explored the antiviral properties of the medicinal plant Vetiveria zizanioides against dengue virus. Initially, the antiviral properties of active compounds were examined using docking analysis along with reference ligand. The enzyme-ligand complex which showed higher binding affinity than the reference ligand was employed for subsequent analysis. The stability of the top scoring enzyme-ligand complex was further validated using molecular simulation studies. On the whole, the study reveals that the compound Ethyl 4-(4-methylphenyl)-4-pentenoate has an effective antiviral property, which can serve as a potential lead molecule in drug discovery process.

Plant products have always been considered for many important metabolic disorders due to its abundant medicinal properties. Alarming adverse effects of overuse of statins has been reported for patients with dyslipidemia. This study was aimed to identify compounds with potent anti-dyslipidemic property from selected plants and analyze them for their efficiency in binding with HMG-CoA reductase, a key enzyme in lipid metabolism. The docking studies indicate rutin as the best compound that can inhibit HMG-CoA reductase as it had strong binding affinity to the enzyme. The molecular dynamics simulation studies confirmed the stability of the HMG-CoA reductase-rutin complex. RMSD, RMSF, Rg, H-bond results indicated that the HMG-CoA reductase-rutin complex is highly stable. Presently, statins are not preferred for individuals with pre-existing liver disease. Our study identified rutin as a promising lead compound which could be further developed into an anti-dyslipidemic molecule. Our results will be a good starting point for future experimental and clinical studies and if the results from such studies match international standards plant derived rutin might emerge as a good alternative to statins. J. Cell. Biochem. 118: 52-57, 2017. © 2016 Wiley Periodicals, Inc.

Staphylococcus aureus (S. aureus) is an emerging concern in hospital settings as it causes serious human infections. The multidrug resistance (MDR) in S. aureus is a complicated problem that is difficult to overcome due to the presence of numerous antibiotic resistance genes and it exhibit resistance to most of the currently available antibiotics. Presently, the resistance mechanisms of these genes/proteins are not completely understood. Therefore, identifying and understanding the functional relationship between the antibiotic resistant genes and their associated proteins might provide necessary information on resistance mechanisms and thereby help in designing successful drugs to combat the antibiotic resistance. In this study, we propose a model based on protein/gene network to identify genes/proteins associated with drug resistance in S. aureus. We filtered 50 functional partners in NorA, aacA-aphD (aac6ie), aad9ib (ant), aadd (knt), baca (uppP), bl2a_pc (blaZ), ble, ermA, SAV0052 (ermb), ermc, fosB, mecA (mecI), mecR (mecr1), mepA, msrA1, qacA, vraR (str), tet38 and tetM while 40 functional partners are identified in tet and aphA-3 (aph3iiia). The average shortest path length and betweenness centrality of functional partners in the clusters are calculated and they are functionally enriched with the Gene Ontology (GO) terms with a p-value cut-off ≤0.05. Interestingly, the constructed network reveals many associated antibiotic resistant genes and proteins and their role in resistance mechanisms. Thus, our results might provide a better understanding of the molecular mechanisms of action and their mode of drug resistance that will be useful for researchers exploring in the field of antibiotic resistance mechanisms.

World Health Organization reports that methicillin-resistant Staphylococcus aureus (MRSA) is the origin of higher proportion of hospital acquired infections. In order to combat the effect of MRSA infection, an ideal drug should stimulate the allosteric exposure of active site, prompting penicillin binding proteins (PBP2a) to bind with that particular compound. Ceftaroline shows high binding affinity towards PBP2a and also confers resistance against degrading enzymes. Recently, two amino acid alterations in the allosteric site of PBP2a, asparagine (N) to lysine (K) at position 146 and glutamic acid (E) to lysine at position 150 are reported to confer resistance against ceftaroline resulting in the rise of ceftaroline-resistant MRSA strains. The present study focuses on the identification of potential ligands that can effectively bind with allosteric site of PBP2a, that leads to the access of active site and entry of a β-lactam antibiotic for effective inhibition. The results obtained from our study will be useful for designing effective compounds with potential therapeutic effects against ceftaroline resistant MRSA strains.

Resistance to antibiotics have created havoc around the globe due to the emergence of multi-drug resistant (MDR) pathogenic bacterial strains. To decipher this problem, a detailed understanding of the antimicrobial resistance (AMR) genes and their resistant mechanisms are obligatory. The present study is mainly focused on an opportunistic, nosocomial bacterial strain Enterococcus faecalis V583, which possess acquired exogenous AMR genes portraying resistance against Chloramphenicol, Tetracycline, Vancomycin, Linezolid, Ampicillin and other antibiotics. An interaction network of eight AMR genes along with 40 functional partners have been constructed and analysed. Functional enrichment analysis highlighted 20, 21 and 22 genes having significant roles in Cellular Component (CC), Molecular Functions (MF) and Biological Process (BP) respectively. Clustering analysis resulted in four densely interconnected clusters (C1-C4) which were associated with three AMR mechanisms that include the alteration in drug target (pbps, mur and van genes), complete replacement/bypass of target sites (van genes) and ATP Binding Cassette (ABC) transporter efflux pump mechanisms (msrA, EF_1680, EF_1682 and pbps). Our results showed that the genes responsible for β-lactams resistance (pbp1A, 1C, 2A, 2B); glycopeptide resistance (ddl, vanBHBRBSBWXYB); Erythromycin, Macrolides, Lincosamide and Streptogramin-B (MLSB) resistance (msrA, EF_1680, EF_1682) along with mur genes (murABBCDEFG) played an important role in MDR mechanisms. Network analysis has shown the genes mraY, pbpC, murE, murG and murD possessed 26, 24, 23, 22 and 22 interactions respectively. With more number of direct interactions, these genes can be considered as hub genes that could be exploited as potential drug targets for new drug discovery.

Presently, there are no effective vaccines and anti-virals for the prevention and treatment of Hepatitis C virus infections and hence there is an urgent need to develop potent HCV inhibitors. In this study, we have carried out molecular docking, molecular dynamics and 3D-QSAR on heteroaryl 3-(1,1-dioxo-2H-(1,2,4)-benzothiadizin-3-yl)-4-hydroxy-2(1H)-quinolinone series using NS5B protein. Total of 41 quinolinone derivatives is used for molecular modeling study. The binding conformation and hydrogen bond interaction of the docked complexes were analyzed to model the inhibitors. We identified the molecule XXXV that had a higher affinity with NS5B. The molecular dynamics study confirmed the stability of the compound XXXV-NS5B complex. The developed CoMFA descriptors parameters, which were calculated using a test set of 13 compounds, were statistically significant. Our results will provide useful insights and lead to design potent anti-Hepatitis C virus molecules.

Mutations in Fetal Liver Tyrosine Kinase 3 (FLT3) genes are implicated in the constitutive activation and development of Acute Myeloid Leukaemia (AML). They are involved in signalling pathway of autonomous proliferation and block differentiation in leukaemia cells. FLT3 is considered as a promising target for the therapeutic intervention of AML. There are a few missense mutations associated with FLT3 that are found in AML patients. The D835N mutation is the most frequently observed and the aspartic acid in this position acts as a key residue for the receptor activation. The present study aims to understand the structural effect of D835N mutation in FLT3. We carried out the molecular dynamics (MD) simulation for a period of 120 ns at 300 K. Root-mean square deviation, root-mean square fluctuations, surface accessibility, radius of gyration, hydrogen bond, eigenvector projection analysis, trace of covariance matrix, and density analysis revealed the instability of mutant (D835N) protein. Our study provides new insights on the conformational changes in the mutant (D835N) structure of FLT3 protein. Our observations will be useful for researchers exploring AML and for the development of FLT3 inhibitors.

Metallo Beta (β) Lactamases (MBL) are metal dependent bacterial enzymes that hydrolyze the β-lactam antibiotics. In recent years, MBL have received considerable attention because it inactivates most of the β-lactam antibiotics. Increase in dissemination of MBL encoding antibiotic resistance genes in pathogenic bacteria often results in unsuccessful treatments. Gene interaction network of MBL provides a complete understanding on the molecular basis of MBL mediated antibiotic resistance. In our present study, we have constructed the MBL network of 37 proteins with 751 functional partners from pathogenic bacterial spp. We found 12 highly interconnecting clusters. Among the 37 MBL proteins considered in the present study, 22 MBL proteins are from B3 subclass, 14 are from B1 subclass and only one is from B2 subclass. Global topological parameters are used to calculate and compare the probability of interactions in MBL proteins. Our results indicate that the proteins associated within the network have a strong influence in antibiotic resistance mechanism. Interestingly, several drug targets are identified from the constructed network. We believe that our results would be helpful for researchers exploring MBL-mediated antibiotic resistant mechanisms.

Computational analysis of biomolecular interaction networks is now gaining a lot of importance to understand the functions of novel genes/proteins. Gene interaction (GI) network analysis and protein-protein interaction (PPI) network analysis play a major role in predicting the functionality of interacting genes or proteins and gives an insight into the functional relationships and evolutionary conservation of interactions among the genes. An interaction network is a graphical representation of gene/protein interactome, where each gene/protein is a node, and interaction between gene/protein is an edge. In this review, we discuss the popular open source databases that serve as data repositories to search and collect protein/gene interaction data, and also tools available for the generation of interaction network, visualization and network analysis. Also, various network analysis approaches like topological approach and clustering approach to study the network properties and functional enrichment server which illustrates the functions and pathway of the genes and proteins has been discussed. Hence the distinctive attribute mentioned in this review is not only to provide an overview of tools and web servers for gene and protein-protein interaction (PPI) network analysis but also to extract useful and meaningful information from the interaction networks.

Cholera is a serious threat to a large population in the under developed countries. Though oral rehydration therapy is the preferred choice of treatment, the use of antibiotics could reduce the microbial load in the case of severity. The use of antibiotics is also sought in the scenarios where there is problem with access to clean water. However, Vibrio cholera (V. cholerae) strains have developed resistance to antibiotics such as amoxicillin, ampicillin, chloramphenicol, doxycycline, erythromycin, and tetracycline. In this work, we have addressed the resistance issue by targeting MurB protein which is essential for the cell wall biosynthesis in V. cholerae. 20 Phytochemical compounds were chosen to screen the potential inhibitors against V. cholerae to avoid the complications faced by synthesis of small molecules. The molecular docking and dynamics study indicates that quercetin is the most potential and stable inhibitor of Murb.

// Lei Wei 1,* , Sreenivasulu Chintala 2,5,7,* , Eric Ciamporcero 2,* , Swathi Ramakrishnan 2,5 , May Elbanna 2,7 , Jianmin Wang 1 , Qiang Hu 1 , Sean T. Glenn 3 , Mitsuko Murakami 4 , Lu Liu 4 , Eduardo Cortes Gomez 4 , Yuchen Sun 4 , Jacob Conroy 4 , Kiersten Marie Miles 4 , Kullappan Malathi 6 , Sudha Ramaiah 6 , Anand Anbarasu 6 , Anna Woloszynska-Read 2,5 , Candace S. Johnson 2,5 , Jeffrey Conroy 4 , Song Liu 1 , Carl D. Morrison 4 and Roberto Pili 2,7 1 Department of Biostatistics & Bioinformatics, Roswell Park Cancer Institute, Buffalo, NY, USA 2 Genitourinary Program, Roswell Park Cancer Institute, Buffalo, NY, USA 3 Department of Cancer Genetics, Roswell Park Cancer Institute, Buffalo, NY, USA 4 Center for Personalized Medicine, Roswell Park Cancer Institute, Buffalo, NY, USA 5 Department of Pharmacology and Therapeutics, Roswell Park Cancer Institute, Buffalo, NY, USA 6 Medical & Biological Computing Laboratory, School of Biosciences and Technology, VIT University, Vellore, Tamil Nadu, INDIA 7 Genitourinary Program, Indiana University-Simon Cancer Center, Indianapolis, IN, USA * These authors have contributed equally to this work Correspondence to: Roberto Pili, email: // Keywords : urothelial carcinoma, patient-derived xenograft, PI3KCA Received : October 15, 2016 Accepted : October 22, 2016 Published : November 03, 2016 Abstract Purpose: Effective systemic therapeutic options are limited for bladder cancer. In this preclinical study we tested whether bladder cancer gene alterations may be predictive of treatment response. Experimental design: We performed genomic profiling of two bladder cancer patient derived tumor xenografts (PDX). We optimized the exome sequence analysis method to overcome the mouse genome interference. Results: We identified a number of somatic mutations, mostly shared by the primary tumors and PDX. In particular, BLCAb001, which is less responsive to cisplatin than BLCAb002, carried non-sense mutations in several genes associated with cisplatin resistance, including MLH1 , BRCA2, and CASP8 . Furthermore, RNA-Seq analysis revealed the overexpression of cisplatin resistance associated genes such as SLC7A11 , TLE4, and IL1A in BLCAb001. Two different PIK3CA mutations, E542K and E545K, were identified in BLCAb001 and BLCAb002, respectively. Thus, we tested whether the genomic profiling was predictive of response to a dual PI3K/mTOR targeting agent, LY3023414. Despite harboring similar PIK3CA mutations, BLCAb001 and BLCAb002 exhibited differential response, both in vitro and in vivo . Sustained target modulation was observed in the sensitive model BLCAb002 but not in BLCAb001, as well as decreased autophagy. Interestingly, computational modelling of mutant structures and affinity binding to PI3K revealed that E542K mutation was associated with weaker drug binding than E545K. Conclusions: Our results suggest that the presence of activating PIK3CA mutations may not necessarily predict in vivo treatment response to PI3K targeted therapies, while specific gene alterations may be predictive for cisplatin response in bladder cancer models and, potentially, in patients as well.

Discovery of mupirocin, an antibiotic that targets isoleucyl-tRNA synthetase, established aminoacyl-tRNA synthetase as an attractive target for the discovery of novel antibacterial agents. Despite a high degree of similarity between the bacterial and human aminoacyl-tRNA synthetases, the selectivity observed with mupirocin triggered the possibility of targeting other aminoacyl-tRNA synthetases as potential drug targets. These enzymes catalyse the condensation of a specific amino acid to its cognate tRNA in an energy-dependent reaction. Therefore, each organism is expected to encode at least twenty aminoacyl-tRNA synthetases, one for each amino acid. However, a bioinformatics search for genes encoding aminoacyl-tRNA synthetases from Mycobacterium smegmatis returned multiple genes for glutamyl (GluRS), cysteinyl (CysRS), prolyl (ProRS) and lysyl (LysRS) tRNA synthetases. The pathogenic mycobacteria, namely, Mycobacterium tuberculosis and Mycobacterium leprae, were also found to possess two genes each for CysRS and LysRS. A similar search indicated the presence of additional genes for LysRS in gram negative bacteria as well. Herein, we describe sequence and structural analysis of the additional aminoacyl-tRNA synthetase genes found in M. smegmatis. Characterization of conditional expression strains of Cysteinyl and Lysyl-tRNA synthetases generated in M. smegmatis revealed that the canonical aminoacyl-tRNA synthetase are essential, while the additional ones are not essential for the growth of M. smegmatis.

One of the major impediments in anti-tubercular drug discovery is the lack of a robust grammar that governs the in-vitro to the in-vivo translation of efficacy. Mycobacterium tuberculosis (Mtb) is capable of growing both extracellular as well as intracellular; encountering various hostile conditions like acidic milieu, free radicals, starvation, oxygen deprivation, and immune effector mechanisms. Unique survival strategies of Mtb have prompted researchers to develop in-vitro equivalents to simulate in-vivo physiologies and exploited to find efficacious inhibitors against various phenotypes. Conventionally, the inhibitors are screened on Mtb under the conditions that are unrelated to the in-vivo disease environments. The present study was aimed to (1). Investigate cidality of Mtb targets using a non-chemical inhibitor antisense-RNA (AS-RNA) under in-vivo simulated in-vitro conditions.(2). Confirm the cidality of the targets under in-vivo in experimental tuberculosis. (3). Correlate in-vitro vs. in-vivo cidality data to identify the in-vitro condition that best predicts in-vivo cidality potential of the targets. Using cidality as a metric for efficacy, and AS-RNA as a target-specific inhibitor, we delineated the cidality potential of five target genes under six different physiological conditions (replicating, hypoxia, low pH, nutrient starvation, nitrogen depletion, and nitric oxide).In-vitro cidality confirmed in experimental tuberculosis in BALB/c mice using the AS-RNA allowed us to identify cidal targets in the rank order of rpoB>aroK>ppk>rpoC>ilvB. RpoB was used as the cidality control. In-vitro and in-vivo studies feature aroK (encoding shikimate kinase) as an in-vivo mycobactericidal target suitable for anti-TB drug discovery. In-vitro to in-vivo cidality correlations suggested the low pH (R = 0.9856) in-vitro model as best predictor of in-vivo cidality; however, similar correlation studies in pathologically relevant (Kramnik) mice are warranted. In the acute infection phase for the high fidelity translation, the compound efficacy may also be evaluated in the low pH, in addition to the standard replication condition.

Melioidosis is a serious infectious diseases affecting multi-organ system in humans with high mortality rate. The disease is caused by the bacterium, Burkholderia pseudomallei and it is intrinsically resistant to many antibiotics. Thus, there is an urgent need for protective vaccine against B. pseudomallei; which may reduce morbidity and mortality in endemic areas. The identification of peptides that bind to major histocompatibility complex II class helps in understanding the nature of immune response and identifying T-cell epitopes for the design of new vaccines. Previous studies indicate that, ompA, bipB, fliC and groEL proteins of B. pseudomallei stimulate CD4+ T-cell immune response and act as protective immunogens. However, the data for CD4+ T-cell epitopes of these immunogenic proteins are very limited. Hence, in this present study we attempted to identify CD4+ T-cell epitopes in B. pseudomallei immunogenic proteins using in silico approaches. We did population coverage analysis for these identified epitopic core sequences to identify individuals in endemic areas expected to respond to a given set of these epitopes on the basis of HLA genotype frequencies. We observed that eight epitopic core sequences, two from each immunogenic protein, were associated with the maximum number of HLA-DR binding alleles. These eight peptides are found to be immunogenic in more than 90% of population in endemic areas considered. Thus, these eight peptides containing epitopic core sequences may act as probable vaccine candidates and they may be considered for the development of epitope-based vaccines for melioidosis.

Ebola Virus Disease (EVD) is a life-threatening haemorrhagic fever in humans. Even though there are many reports on EVD, the protein precursor functions and virulent factors of ebolaviruses remain poorly understood. Comparative analyses of Ebolavirus genomes will help in the identification of these important features. This prompted us to develop the Ebolavirus Database (EDB) and we have provided links to various tools that will aid researchers to locate important regions in both the genomes and proteomes of Ebolavirus. The genomic analyses of ebolaviruses will provide important clues for locating the essential and core functional genes. The aim of EDB is to act as an integrated resource for ebolaviruses and we strongly believe that the database will be a useful tool for clinicians, microbiologists, health care workers, and bioscience researchers.