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Aim The aim of this study is to investigated the potential inhibitory activity of asenapine against central nervous system CaMKII isozymes as a potential repurposing study using docking experiments and enzymatic assay. Background The Ca2+/calmodulin-dependent protein kinase II (CaMKII) is a multifunctional protein kinase ubiquitously expressed throughout the brain. Emerging biological data have indicated that inhibiting central nervous system CaMKII isoforms, namely, CaMKIIα and CaMKIIβ, may be a promising therapeutic strategy for the potential treatment of many neurological diseases including schizophrenia, depression, epilepsy, and learning deficit. Objective 1- Study the possible attractive interactions of asenapine within the binding sites of the central CaMKII isozymes. 2- Evaluate the inhibitory activities of asenapine against central CaMKII isozymes. Method Docking experiments of asenapine and other known CaMKII inhibitors were performed. Docking settings were validated using ROC analysis. After that, the inhibitory activities of asenapine against central CaMKII alpha and beta were evaluated by enzymatic assay. Result Docking and scoring experiments of asenapine showed several binding interactions anchoring asenapine within CaMKIIα and CaMKIIβ catalytic sites while enzymatic assay results revealed that asenapine can inhibit CaMKIIα and CaMKIIβ in the micromolar range. Conclusion Our study provides evidence that asenapine can serve as a promising lead for the development of new CaMKIIα and CaMKIIβ inhibitors. Moreover, this study reinforces how the investment in drug repurposing could boost the drug discovery process.

Introduction: Tyrosine threonine kinase (TTK1) is a key regulator of chromosome segregation. Recently, TTK targeting came into focus for the enhancement of possible anticancer therapies. Objective: In this regard, we employed our well-known method of QSAR-guided selection of the best crystallographic pharmacophore(s) to discover considerable binding interactions that transfer inhibitors into TTK1 binding site. Methods: Sixty-one TTK1 crystallographic complexes were used to extract 315 pharmacophore hypotheses. QSAR modeling was subsequently used to choose a single crystallographic pharmacophore that, when combined with other physicochemical descriptors, elucidates discrepancy in bioactivity of 55 miscellaneous inhibitors. Results: The best QSAR model was robust and predictive (r2(55) = 0.75, r2LOO = 0.72 , r2press against external testing list of 12 compounds = 0.67), Standard error of estimate (training set) (S)= 0.63 , Standard error of estimate (testing set)(Stest) = 0.62. The resulting pharmacophore and QSAR models were used to scan the National Cancer Institute (NCI) database for new TTK1 inhibitors. Conclusion: Five hits confirmed significant TTK1 inhibitory profiles with IC50 values ranging between 11.7 and 76.6 mM.

Here, we describe further cytotoxic studies and reverse pharmacophore mapping (pharmacophore profiling) for bis-triazoles MS44-53, which were designed and synthesized previously to stabilize the G-quadruplex nucleic acids capable of being formed at the telomeric region and promoter sequences of genes involved in cellular proliferation and oncogenes. Pharmacophore-based activity profiling screen demonstrated some biological targets that MS44-53 may modulate their biological response, and thus can be considered as potential drugs to treat different kinds of diseases, such as carcinoma, diabetes type II, bacterial infection and cardiovascular diseases. Potent cell growth inhibitory properties were shown by ligands MS47 and MS49 against human melanoma MDA-MB-435, colon cancer HCT-116 and COLO 205, and pancreatic cancer MIA PaCa-2 cell lines, as evidenced by MTT assay. Both ligands were more potent against cancer cells than in skin normal CCD-1064Sk fibroblasts. Aim: The aim of this study is to identify the molecular target and mechanism of action of our promising anticancer bis-triazoles MS44-53, focusing specifically on the G-quadruplex stabilizers MS47 and MS49. Background: In molecular biology, G-quadruplexes (also known as G4-DNA), one of the higher-order structures of polynucleotides, are four stranded structures formed by nucleic acid sequences which are rich in guanine. They are formed mainly at the single-stranded G-overhang of telomeric DNA and within promoter sequences of genes involved in cellular proliferation and oncogenes such as c-myc, c-kit, and Hsp90. Stabilization of DNA G-quadruplexes is one of the anticancer strategies that has the potential to treat all cancers regardless of the type. A new series of bis-triazoles MS44-53 were developed to stabilize G-quadruplex structures selectively, as G4 ligands and experimental antitumour agents. FRET assay showed that MS47 and MS49 were only the best binders towards the Hsp90 promoter G-guadruplexes. While all bis-triazoles MS44-53 exhibited potent cell growth inhibitory activity against human carcinoma cell lines, suggesting that the ligands perturb molecular targets and mechanisms of action, other than stabilizing G-quadruplexes, contributing to antitumor activity. Therefore, the molecular targets and mechanisms of action of bis-triazoles MS44-53 in different types of human cancer cell lines should be determined by performing further computational studies to MS44-53 and in vitro evaluations for the G-quadruplex stabilizers MS47 and MS49. Objectives: 1- Determining the exact IC50 for bis-triazoles MS47 & MS49 against four different types of human cancer cell lines; melanoma MDA-MB-435, pancreatic cancer MIA PaCa-2, and colon cancer HCT-116 and COLO 205 cell lines. 2- Predicting the biological targets that bis-triazoles MS44-53 may interact with to trigger or block their biological response. Methods: 1- MTT assay was used for in vitro evaluation of the antiproliferative activities of MS47 and MS49, and determination of IC50 values. 2- Reverse pharmacophore mapping (pharmacophore profiling) was used for predicting the biological targets of bis-triazoles MS44-53, and determining the % binding probabilities. Results: MS49 exhibited more potent proliferation inhibitory activity than MS47 and higher IC50 value against skin normal fibroblasts. Pharmacophore profiling demonstrated FGFR1, PDGFR2, FLT3, mTOR, PPAR-gamma, MUR-F and CETP as biological targets for bis-triazoles MS44-53. Conclusion: Bis-triazoles MS47 and MS49 are promising selective innovative compounds with wide spectrum cytotoxic activities against distinct cancer types. Bis-triazoles MS44-53 can be considered as potential drugs to treat different types of carcinoma, in addition to diabetes type II, bacterial infection and cardiovascular diseases. Other: Further in vitro evaluations will be performed for bis-triazoles MS44-53 in order to identify their molecular targets and mechanisms of action in different types of human cancer cell lines.

Polo-like kinase 1 (PLK1) plays vital roles in mitotic activities including G2/M transition, mitotic entry, and cytokinesis. PLK1 overexpression was observed in cancers and associated with poor prognosis. PLK1 inhibition was proven to hamper cancer hallmarks. In this research, a computational workflow named Docking-based Comparative Intermolecular Contacts Analysis (dbCICA) was employed to discover new PLK1 inhibitors. Eighty-two reported PLK1 inhibitors were fitted into the binding-pocket of a PLK1 crystallographic structure to specify their finest possible docking configurations. Optimal dbCICA models were utilized to create pharmacophores that were assessed by receiver operating characteristic (ROC) analysis and were employed for in-silico virtual screening of the National Cancer Institute database. The bioactivities of captured hits were evaluated via fluorescence-based kinase bioassay. Two promising hits were identified; 89 (NCI 37190) and 103 (NCI 1012) scored IC50 values of 6.30 and 19.1 μM, respectively.

Background: 3-Phosphoinositide Dependent Protein Kinase-1 (PDK1) is being lately considered as an attractive and forthcoming anticancer target. A Protein Data Bank (PDB) cocrystallized crystal provides not only rigid theoretical data but also a realistic molecular recognition data that can be explored and used to discover new hits. Objective: This incited us to investigate the co-crystallized ligands' contacts inside the PDK1 binding pocket via a structure-based receptor-ligand pharmacophore generation technique in Discovery Studio 4.5 (DS 4.5). Methods: Accordingly, 35 crystals for PDK1 were collected and studied. Every single receptorligand interaction was validated and the significant ones were converted into their corresponding pharmacophoric features. The generated pharmacophores were scored by the Receiver Operating Characteristic (ROC) curve analysis. Results: Consequently, 169 pharmacophores were generated and sorted, 11 pharmacophores acquired good ROC-AUC results of 0.8 and a selectivity value above 8. Pharmacophore 1UU3_2_01 was used in particular as a searching filter to screen NCI database because of its acceptable validity criteria and its distinctive positive ionizable feature. Several low micromolar PDK1 inhibitors were revealed. The most potent hit illustrated anti-PDK1 IC50 values of 200 nM with 70% inhibition against SW480 cell lines. Conclusion: Eventually, the active hits were docked inside the PDK1 binding pocket and the recognition points between the active hits and the receptor were analyzed that led to the discovery of new scaffolds as potential PDK1 inhibitors.

Background: Phosphoinositide-Dependent Kinase-1 (PDK1) is a serine/threonine kinase, which belongs to AGC kinase family required by cancer cells. Methods: harmacophoric space of 86 PDK1 inhibitors using six diverse sets of inhibitors was explored to identify high-quality pharmacophores. The best combination of pharmacophoric models and physicochemical descriptors was selected by genetic algorithm-based QSAR analysis that can elucidate the variation of bioactivity within the training inhibitors. Two successful orthogonal pharmacophores emerged in the optimum QSAR equation (r2 69 = 0.90, r2 LOO= 0.86, F= 51.92, r2 PRESS against 17 test inhibitors = 0.79). Receiver Operating Characteristic (ROC) curve analyses were used to estimate the QSAR-selected pharmacophores. Results: 5 out of 11 compounds tested had shown potential intracellular PDK1 inhibition with the highest inhibition percent for compounds 92 and 93 as follows; 90 and 92% PDK1 inhibition, respectively. Conclusion: PDK1 inhibitors are potential anticancer agents that can be discovered by combination method of ligand based design with QSAR and ROC analysis.

Background: Flt3 is an oncogenic kinase involved in different leukemias. It is most prominently associated with acute myeloid leukemia (AML). Flt3-specific inhibitors have shown promising results in interfering with AML. Methods: The crystallographic structures of two inhibitors complexed within Flt3, namely, quizartinib and F6M, were used to guide the synthesis of new sulfonamide-based Flt3 inhibitors. Results: One of the prepared compounds showed low micromolar anti-Flt3 bioactivity, and interestingly, low micromolar bioactivity against the related oncogenic kinase VEGFR2. Conclusion: Sulfonamides were successfully used as privileged scaffolds for the synthesis of novel Flt3 inhibitors of micromolar potencies.

Serine/threonine-protein kinase N2 (PKN2) plays an important role in cell cycle progression, cell migration, cell adhesion and transcription activation signaling processes. In cancer, however, it plays important roles in tumor cell migration, invasion and apoptosis. PKN2 inhibitors have been shown to be promising in treating cancer. This prompted us to model this interesting target using our QSAR-guided selection of docking-based pharmacophores approach where numerous pharmacophores are extracted from docked ligand poses and allowed to compete within the context of QSAR. The optimal pharmacophore was sterically-refined, validated by receiver operating characteristic (ROC) curve analysis and used as virtual search query to screen the National Cancer Institute (NCI) database for new promising anti-PKN2 leads of novel chemotypes. Three low micromolar hits were identified with IC

The kinase c-Jun N-terminal Kinase 3 (JNK3) plays an important role in neurodegenerative diseases. JNK3 inhibitors have shown promising results in treating Alzheimer's and Parkinson's diseases. This prompted us to model this interesting target via three established structure-based computational workflows; namely, docking-based Comparative Intermolecular Contacts Analysis (db-CICA), pharmacophore modeling via molecular-dynamics based Ligand-Receptor Contact Analysis (md-LRCA), and QSAR-guided selection of crystallographic pharmacophores. Moreover, we compared the performances of resulting pharmacophores against binding models generated via a newly introduced technique, namely, QSAR-guided selection of docking-based pharmacophores. The resulting pharmacophores were validated by receiver operating characteristic (ROC) curve analysis and used as virtual search queries to screen the National Cancer Institute (NCI) database for promising anti-JNK3 hits of novel chemotypes. Eleven nanomolar and low micromolar hits were identified, three of which were captured by QSAR-guided docking-based pharmacophores.

Background: PI3Kδ is predominantly expressed in hematopoietic cells and participates in the activation of leukocytes. PI3Kδ inhibition is a promising approach for treating inflammatory diseases and leukocyte malignancies. Accordingly, we decided to model PI3Kδ binding. Methods: Seventeen PI3Kδ crystallographic complexes were used to extract 94 pharmacophore models. QSAR modelling was subsequently used to select the superior pharmacophore(s) that best explain bioactivity variation within a list of 79 diverse inhibitors (i.e., upon combination with other physicochemical descriptors). Results: The best QSAR model (r2 = 0.71, r2 LOO = 0.70, r2 press against external testing list of 15 compounds = 0.80) included a single crystallographic pharmacophore of optimal explanatory qualities. The resulting pharmacophore and QSAR model were used to screen the National Cancer Institute (NCI) database for new PI3Kδ inhibitors. Two hits showed low micromolar IC50 values. Conclusion: Crystallography-based pharmacophores were successfully combined with QSAR analysis for the identification of novel PI3Kδ inhibitors.

Tyrosine Kinase 2 (TYK2) inhibition is of potential therapeutic value for treating autoimmune diseases. An elaborate ligand-based computational workflow was employed to explore structural requirements for TYK2 inhibition. Genetic function algorithm (GFA) was coupled to k-nearest neighbor (kNN) and multiple linear regression (MLR) analyses to search for predictive QSAR models based on optimal pharmacophore(s)/physicochemical descriptors combinations. QSAR-selected pharmacophores were validated by receiver operating characteristic (ROC) curve analysis and by comparison with crystallographic structures of known inhibitors complexed within the TYK2 binding pocket. Optimal QSAR models and their associated pharmacophore hypotheses were used to identify new TYK2 inhibitory leads retrieved from the National Cancer Institute (NCI) structural database. The most potent hit exhibited experimental anti-TYK2 IC50 of 7.1 µM.

Flt3 is an oncogenic kinase involved in different types of leukemia. It is most prominently associated with acute myeloid leukemia (AML). Flt3-specific inhibitors have shown promising results in interfering with AML prompting us to model this interesting target. We implemented ligand-based, QSAR-guided, pharmacophore exploration combined with novel structure-based computational workflow based on docking-based comparative intermolecular contacts analysis (db-CICA) combined with homology modelling to explore the pharmacophoric features of 93 diverse cyclic Flt3 inhibitors. The resulting pharmacophore models were used as virtual search queries to scan the National Cancer Institute (NCI) database for novel Flt3 inhibitory leads. Ten hits of novel scaffolds were captured showing anti-Flt3 IC50 values ranging from 1.2 to 14.7 μM. Interestingly, six of them illustrated low micromolar and submicromolar potencies against the mutated active form of Flt3 (Flt3D835Y) and the related vascular endothelial growth factor receptor 2 (VEGFR2).

Small interfering RNA (siRNA) has received increased interest as a gene therapeutic agent. However, instability and lack of safe, affordable, and effective carrier systems limit siRNA's widespread clinical use. To tackle this issue, synthetic vectors such as liposomes and polymeric nanoparticles have recently been extensively investigated. In this study, we exploited the advantages of reduced cytotoxicity and enhanced cellular penetration of chitosan-phthalate (CSP) together with the merits of lecithin (LC)-based nanoparticles (NPs) to create novel, ellipsoid, non-cytotoxic, tripolyphosphate (TPP)-crosslinked NPs capable of delivering siRNA efficiently. The resulting NPs were characterized by dynamic light scattering (DLS) and transmission electron microscopy (TEM), and were found to be ellipsoid in the shape of ca. 180 nm in size, exhibiting novel double-layer shells, with excellent stability at physiological pH and in serum solutions. MTT assay and confocal fluorescence microscopy showed that CSP-LC-TPP NPs are non-cytotoxic and efficiently penetrate cancer cells in vitro. They achieved 44% silencing against SLUG protein in MDA-MB-453 cancer cells and were significantly superior to a commercial liposome-based transfection agent that achieved only 30% silencing under comparable conditions. Moreover, the NPs protected their siRNA cargos in 50% serum and from being displaced by variable concentrations of heparin. In fact, CSP-LC-TPP NPs achieved 26% transfection efficiency in serum containing cell culture media. Real-time wide-field fluorescence microscopy showed siRNA-loaded CSP-LC-TPP NPs to successfully release their cargo intracellularly. We found that the amphoteric nature of chitosan-phthalate polymer promotes the endosomal escape of siRNA and improves the silencing efficiency., Graphical Abstract

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has recently emerged in China and caused a disease called coronavirus disease 2019 (COVID-19). The virus quickly spread around the world, causing a sustained global outbreak. Although SARS-CoV-2, and other coronaviruses, SARS-CoV and Middle East respiratory syndrome CoV (MERS-CoV) are highly similar genetically and at the protein production level, there are significant differences between them. Research has shown that the structural spike (S) protein plays an important role in the evolution and transmission of SARS-CoV-2. So far, studies have shown that various genes encoding primarily for elements of S protein undergo frequent mutation. We have performed an in-depth review of the literature covering the structural and mutational aspects of S protein in the context of SARS-CoV-2, and compared them with those of SARS-CoV and MERS-CoV. Our analytical approach consisted in an initial genome and transcriptome analysis, followed by primary, secondary and tertiary protein structure analysis. Additionally, we investigated the potential effects of these differences on the S protein binding and interactions to angiotensin-converting enzyme 2 (ACE2), and we established, after extensive analysis of previous research articles, that SARS-CoV-2 and SARS-CoV use different ends/regions in S protein receptor-binding motif (RBM) and different types of interactions for their chief binding with ACE2. These differences may have significant implications on pathogenesis, entry and ability to infect intermediate hosts for these coronaviruses. This review comprehensively addresses in detail the variations in S protein, its receptor-binding characteristics and detailed structural interactions, the process of cleavage involved in priming, as well as other differences between coronaviruses.

Aims: Design of sulfonamide-triazine derivatives as JAK1 inhibitors. Background: JAK1 is a kinase involved in different autoimmune diseases. JAK1 inhibitors have shown promising results in treating autoimmune diseases. Objectives: To design new JAK1 inhibitors based on sulfonamides-triazine conjugates capable of binding interactions comparable to observed interactions anchoring potent crystallographic JAK1 inhibitors. Methods: The crystallographic structures of 4 diverse nanomolar inhibitors complexed within JAK1 were used to guide the synthesis of new diaminotriazine-sulfonamide-based JAK1 inhibitors. Results: Nineteen compounds have been prepared some of which exhibited low micromolar IC50 values against JAK1. Conclusions: Crystallographic complexes of diverse JAK1 inhibitors were successfully used to guide the synthesis of novel sulfonamide-triazine-based low micromolar JAK1 inhibitors.

Background: A variety of synthetic amidrazones are endowed with antitumor activity. Examples include N1-(thien-3-yl)amidrazone-2-carboxylates that exhibit high potency against breast cancer (MCF-7) and leukemia (K562) cell lines. These results prompted us to design and examine a new set of isomeric N1-(thienyl)amidrazone. Methods: The synthesis of the targeted N1-(thien-4-yl)amidrazone-4-carboxylates 7a-n is achieved via interaction of the appropriate (N-substituted)piperazine with nitrile imine 1,3 dipole (generated in situ from the N1-(thien-4-yl)hydrazonoyl chloride precursor by the action of NEt3). Results: Among the tested compounds 7a-n, the amidrazone (7m) incorporating N4-(pyridin-2- yl)piperazine moiety was the most active against leukemia (K562) with IC50 value of 1.02 μM. Docking studies showed that 7m binds with the oncogenic protein kinase Bcr-Abl. Noteworthy, compound 7m shows negligible cytotoxic effect on human normal fibroblast cells. Conclusion: Compound 7m could probably act as a prospective lead structure for development of new synthetic N1-(thienyl)amidrazones against leukemia (K562).

Akt1 and Akt3 are important serine/threonine-specific protein kinases involved in G2 phase required by cancer cells to maintain cell cycle and to prevent cell death. Accordingly, inhibitors of these kinases should have potent anti-cancer properties. This prompted us to use pharmacophore/QSAR modeling to identify optimal binding models and physicochemical descriptors that explain bioactivity variation within a set of 74 diverse Akt3 inhibitors. Two successful orthogonal pharmacophores were identified and further validated using receiver operating characteristic (ROC) curve analyses. The pharmacophoric models and associated QSAR equation were applied to screen the national cancer institute (NCI) list of compounds for new Akt3 inhibitors. Six hits showed significant experimental anti-Akt3 IC50 values, out of which one compound exhibited dual low micromolar anti-Akt1 and anti-Akt3 inhibitory profiles.

BACKGROUND Amidrazones have been reported to have significant anti-tumor properties against several cancer cell lines. OBJECTIVES The current project aims to profile the structure-anticancer activity relationship of phenyl-amidrazons. METHODS Fifteen phenyl-amidrazone-piperazine derivatives were prepared and tested against four cancer cell lines (leukemia, prostate, breast and colon cancers). RESULTS Six compounds illustrated low micromolar anticancer IC50 values, while the remaining compounds were either inactive or of moderate potencies. All compounds were virtually nontoxic against normal fibroblast cells. CONCLUSION Docking into the oncogenic kinase bcr/abl illustrated the critical importance of (i) phalogen substituent on the ligand's phenyl ring and (ii) the presence of positive ionizable moiety at the ligand's piperazine fragment for anticancer activity.

Cancer is a major health problem in many parts of the world. Conventional anticancer treatments are painful, expensive, and unsafe. Therefore, demand is increasing for cancer treatments preferentially in the form of functional foods or nutritional supplements. Kefir, a traditional fermented milk dairy product, has significant antimutagenic and antitumor properties. This research addresses the hypothesis that kefir's anticancer properties are affected by fermentation conditions. Initially, kefir extracts prepared under standard conditions were screened against 7 cancer cell lines using the tetrazolium dye 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide colorimetric assay. Colon cancer and chronic myelogenous leukemia cells were found to be most susceptible to kefir extracts. Subsequently, a factorial design was implemented to assess the effects of 3 fermentation times (24, 48, and 72 h), 3 kefir-to-milk ratios (2, 5, and 10% wt/vol), and 3 fermentation temperatures (4, 25, and 40°C) on kefir's anticancer properties. Remarkably, exploration of the fermentation conditions allowed the anticancer properties of kefir to be enhanced by 5- to 8-fold against susceptible cell lines. Overall, these results demonstrate the possibility of optimizing the anticancer properties of kefir as a functional food in cancer therapy.

Chitosan-based nanoparticles prepared by ionotropic gelation are prone to stability issues. The aim of this work is to chemically modify chitosan by grafting to succinate, phthalate, glutarate and phenylsuccinate moieties and to investigate the suitability of the resulting polymers as covalently-crosslinked nanocarriers. Corresponding nanoparticles (NPs) were formulated by ionotropic gelation using tripolyphosphate (TPP) anion then they were covalently crosslinked using 1-ethyl-3-(3-dimethylaminopropyl)-carbodiimide (EDC). Infrared and thermal analysis confirmed the formation of phosphoramide bonds within the NPs indicating the involvement of TPP in covalent crosslinking. This is the first time to report phosphormide covalent crosslinking within nanoparticles matrices. The resulting NPs were found to resist drastic pH and calcium ion conditions. Size analysis indicated the NPs to be spherical and less than 500 nm in diameter. Loading studies using Safranine O showed enhanced NPs drug loading upon covalent crosslinking compared to ionotropic gelling. Doxorubicin-loaded NPs were of superior cytotoxic properties compared to free doxorubicin.

Aim: Ligand-based pharmacophore modeling requires long list of inhibitors, while pharmacophores based on single ligand–receptor crystallographic structure can be too restricted or promiscuous. Methodology: This prompted us to combine simulated annealing molecular dynamics (SAMD) with ligand–receptor contacts analysis as means to construct pharmacophore model(s) from single ligand–receptor complex. Ligand–receptor contacts that survive numerous heating-cooling SAMD cycles are considered critical and are used to guide pharmacophore development. Results: This methodology was implemented to develop pharmacophores for acetylcholinesterase and protein kinase C-θ. The resulting models were validated by receiver-operating characteristic analysis and in vitro bioassay. Assay identified four new protein kinase C-θ inhibitors among captured hits, two of which exhibited nanomolar potencies. Conclusion: The results illustrate the ability of the new method to extract valid pharmacophores from single ligand–protein complex.

Currently, there is overwhelming evidence linking elevated plasma free fatty acids with insulin resistance and inflammation. Monoglyceride lipase (MGL) plays a crucial metabolic role in lipolysis by mediating the release of fatty acids. Therefore, inhibiting MGL should be a promising pharmacological approach for treating type 2 diabetes and inflammatory disorders. Proton pump inhibitors (PPIs) have been reported to improve glycemic control in type 2 diabetes albeit via largely unknown mechanism. The anti-MGL bioactivities of three PPIs, namely, lansoprazole, rabeprazole, and pantoprazole, were investigated using docking experiments and in vitro bioassay. The three PPIs inhibited MGL in low micromolar range with rabeprazole exhibiting the best IC50 at 4.2 µM. Docking experiments showed several binding interactions anchoring PPIs within MGL catalytic site. Our study provides evidence for a new mechanism by which PPIs improve insulin sensitivity independent of serum gastrin. The three PPIs effectively inhibit MGL and, therefore, serve as promising leads for the development of new clinical MGL inhibitors.

Aim: FGFR-1 is an oncogenic kinase involved in several cancers. FGFR1-specific inhibitors have shown promising results against several human cancers prompting us to model this interesting target. Toward the end, we implemented elaborate ligand-based and structure-based computational workflows to explore the pharmacophoric requirements for potent FGFR-1 inhibitors. Results & methodology: Structure-based and ligand-based modeling applied on 59 diverse FGFR-1 inhibitors yielded novel pharmacophore and quantitative structure–activity relationship models that were used to scan the National Cancer Institute's structural database for novel leads. Four potent hits were captured, with the most active having IC50 of 426 nM. Identities and purities of active hits were established using nuclear magnetic resonance and mass spectroscopy. Conclusion: Elaborate ligand-based (pharmacophore/quantitaive structure–activity relationship) and structure-based (docking-based comparative intermolecular contacts analysis) modeling provided deep understanding of ligand binding within FGFR-1 as evidenced by the virtually captured new potent leads.