Quantum Dynamics and Bi Metal Force Field Parameterization Yielding Significant Antileishmanial Targets.

Amid emerging drug resistance to metal inhibitors, high toxicity, and onerous drug delivery procedures, the computational design of alternate formulations encompassing functional metal-containing compounds greatly relies on large-scale atomistic simulations. Simulations particularly with Au(I), Ag, Bi(V), and Sb(V) pose a major challenge to elucidate their molecular mechanism due to the absence of force field parameters. This study thus quantum mechanically derives force field parameters of Bi(V) as an extension of the previous experimental study conducted on heteroleptic triorganobismuth(V) biscarboxylates of type [BiR3(O2CR')2]. We have modeled two organo-bismuth(V) carboxylates, which are optimized and parameterized along with the famous pentavalent antimonial drug: meglumine antimoniate using quantum mechanics original Seminarian methods with the SBKJC effective core potential (ECP) basis set. Furthermore, molecular dynamics (MD) simulations of bismuth- and antimony-containing compounds in complex with two enzymes, trypanothione synthetase-amidase (TSA) and trypanothione reductase, are performed to target the (T(SH)2) pathway at multiple points. MD simulations provide novel insights into the binding mechanism of TSA and highlight the role of a single residue Arg569 in modulating the ligand dynamics. Moreover, the presence of an ortho group in a ligand is emphasized to facilitate interactions between Arg569 and the active site residue Arg313 for higher inhibitory activity of TSA. This preliminary generation of parameters specific to bismuth validated by simulations in replica will become a preamble of future computational and experimental research work to open avenues for newer and suitable drug targets.

Non-ß Lactam Inhibitors of the Serine ß-Lactamase blaCTX-M15 in Drug-Resistant Salmonella typhi.

Antibiotic resistance by bacterial pathogens against widely used ß-lactam drugs is a major concern to public health worldwide, resulting in high healthcare cost. The present study aimed to extend previous research by investigating the potential activity of reported compounds against the S. typhi ß-lactamase protein. 74 compounds from computational screening reported in our previous study against ß-lactamase CMY-10 were subjected to docking studies against blaCTX-M15. Site-Identification by Ligand Competitive Saturation (SILCS)-Monte Carlo (SILCS-MC) was applied to the top two ligands selected from molecular docking studies to predict and refine their conformations for binding conformations against blaCTX-M15. The SILCS-MC method predicted affinities of -8.6 and -10.7 kcal/mol for Top1 and Top2, respectively, indicating low micromolar binding to the blaCTX-M15 active site. MD simulations initiated from SILCS-MC docked orientations were carried out to better characterize the dynamics and stability of the complexes. Important interactions anchoring the ligand within the active site include pi-pi stacked, amide-pi, and pi-alkyl interactions. Simulations of the Top2-blaCTX-M15 complex exhibited stability associated with a wide range of hydrogen-bond and aromatic interactions between the protein and the ligand. Experimental ß-lactamase (BL) activity assays showed that Top1 has 0.1 u/mg BL activity, and Top2 has a BL activity of 0.038 u/mg with a minimum inhibitory concentration of 1 mg/mL. The inhibitors proposed in this study are non-ß-lactam-based ß-lactamase inhibitors that exhibit the potential to be used in combination with ß-lactam antibiotics against multidrug-resistant clinical isolates. Thus, Top1 and Top2 represent lead compounds that increase the efficacy of ß-lactam antibiotics with a low dose concentration.

In Silico and In Vitro Study of Janus Kinases Inhibitors from Naphthoquinones.

Janus kinases (JAKs) are involved in numerous cellular signaling processes related to immune cell functions. JAK2 and JAK3 are associated with the pathogenesis of leukemia and common lymphoid-derived illnesses. JAK2/3 inhibitors could reduce the risk of various diseases by targeting this pathway. Herein, the naphthoquinones were experimentally and theoretically investigated to identify novel JAK2/3 inhibitors. Napabucasin and 2'-methyl napabucasin exhibited potent cell growth inhibition in TF1 (IC50 = 9.57 and 18.10 µM) and HEL (IC50 = 3.31 and 6.65 µM) erythroleukemia cell lines, and they significantly inhibited JAK2/3 kinase activity (in a nanomolar range) better than the known JAK inhibitor, tofacitinib. Flow cytometric analysis revealed that these two compounds induced apoptosis in TF1 cells in a time and dose-dependent manner. From the molecular dynamics study, both compounds formed hydrogen bonds with Y931 and L932 residues and hydrophobically contacted with the conserved hinge region, G loop, and catalytic loop of the JAK2. Our obtained results suggested that napabucasin and its methylated analog were potential candidates for further development of novel anticancer drug targeting JAKs.

Structural characterization and antileishmanial activity of newly synthesized organo-bismuth(V) carboxylates: experimental and molecular docking studies.

In a quest to discover new formulations for the treatment of various parasitic diseases, a series of heteroleptic triorganobismuth(V) biscarboxylates of type [BiR3(O2CR')2], where R=C6H5 for 1-4 and p-CH3C6H4 for 5-8, were synthesized, characterized and evaluated for their biological potential against L. tropica. All the synthesized complexes were fully characterized by elemental analysis, FT-IR, multinuclear (1H and 13C) NMR spectroscopy and X-ray crystallography. The crystal structures for [BiPh3(O2CC6H4(o-Br))2] (1), [BiPh3(O2CC2H2C6H4)2] (2), [BiPh3(O2CC6H4(m-NO2))2] (3) and [BiPh3(O2CC6H4(2-OH,3-CH3))2] (4) were determined and found to have a distorted pentagonal bipyramidal molecular geometry with seven coordinated bismuth center for 1-3 and for 4 distorted octahedral geometry, respectively. All the synthesized complexes demonstrated a moderate to significant activity against leishmania parasites. A broad analytical approach was followed to testify the stability for (1-8) in solid state as well as in solution and in leishmanial culture M199, ensuring them to be stable enough to exert a significant antileishmanial effect with promising results. Cytotoxicity profile suggests that tris(tolyl) derivatives show lower toxicity against isolated lymphocytes with higher antileishmanial potential. Molecular docking studies were carried out to reveal the binding modes for (1-8) targeting the active site of trypanothione reductase (TR) (PDB ID: 4APN) and Trypanothione Synthetase-Amidase structure (PDB ID 2vob).

A computational subtractive genome analysis for the characterization of novel drug targets in Klebsiella pneumonia strain PittNDM01.

The emergence of carbapenem-resistant Klebsiella Pneumoniae had been reported previously, which needs rapid attention. Currently, Pittsburgh University Hospital reported a new strain of carbapenem-resistant Klebsiella pneumoniae that was co-producing OXA-232 and NDM-1 named as PittNDM01. This strain is resistant to almost all beta-lactam antibiotics such as Carbapenem as well as to fluoroquinolones and aminoglycosides. Globally, failure to the wide-spread pathogenic strains had been observed due to the increased and antibiotic resistance, which leads to less antimicrobial drug efficacy. Since last decades, computational genomic approaches have been introduced to fight against resistant pathogens, which is an advanced approach for novel drug targets investigation. The current study emphasizes the utilization of the available genomic and proteomic data of Klebsiella pneumoniae PittNDM01 for the identification of novel drug targets for future drug developments. Comparative genomic analysis and molecular biological tools were applied, results in observing 582 non-human homologous-essential proteins of Klebsiella pneumoniae. Among the total 582 proteins, 66 were closely related to the pathogen-specific pathway. Out of all 66-targeted proteins, ten non-homologous essential proteins were found to have druggability potential. The subcellular localization of these proteins revealed; 6 proteins in the cytoplasm, 2 in the inner membrane, and one each in periplasmic space and outer membrane. All the above 10 proteins were compared to the proteins sequences of gut flora to eliminate the homologous proteins. In total, 6-novel non-human and non-gut flora essential drug targets of Klebsiella pneumoniae PittNDM01 strain were identified. Further, the 3D structures of the identified drug target proteins were developed, and protein-protein interaction network analysis was performed to know the functional annotation of the desire proteins. Therefore, these non-homologous essential targets ensure the survival of the pathogen and hence can be targeted for drug discovery.

Deciphering the Inhibition Mechanism of under Trial Hsp90 Inhibitors and Their Analogues: A Comparative Molecular Dynamics Simulation.

Heat shock protein 90 (Hsp90) performs functions in cellular activities together with other signaling pathways. Hsp90 is evolutionarily conserved and universally articulated as a human cancer-causing agent involved in lung cancer and breast cancer followed by colon and rectum cancers. It has emerged as an effective drug candidate, and inhibition may affect several signaling pathways associated with cancer spread. Therefore, in-silico approaches, molecular docking, molecular dynamics simulation, and binding free energy calculations were applied to create insights into the inhibition mechanism against Hsp90 to identify new cancer therapeutic drugs. Top-docked Hsp90-inhibitor complexes with their analogues were selected as the best complexes based on the GOLD fitness score and orientation. The significant interaction of Hsp90 inhibitors and their analogues were observed to be bound with active site residues as well as residing within the same cavity region. System stability factors RMSD, RMSF, beta-factor, and radius of gyration were analyzed for top-docked complexes and ensure strong binding interaction between inhibitors and the Hsp90 cavity. Cavity bound inhibitors were found to retain consistent hydrogen bonding during the simulation. The radial distribution function (RDF) illustrated that interacting active site residues drive the binding and stability of the inhibitors. Similarly, the axial frequency distribution, which is an indigenously developed analytical tool, produced noteworthy knowledge of the hydrogen-bonding pattern. Results yielded new insights into the design of cancer therapeutic drugs against Hsp90. This finding suggests that under trial Hsp90 inhibitors MPC-3100 could be a potential starting point into the development of potential anticancer agents with the possibility of future directions for the improvement of early existing Hsp90 inhibitors CNF-2024 and SNX-5422 as an anticancer agent.

A combine approach of chemical synthesis, biological evaluation and structural dynamics studies revealed thiazole substituted arylamine derivatives as potent FabH enzyme inhibitors.

Bacterial FabH enzyme is a broad-spectrum antimicrobial target and can be used in the design of novel antibiotics. This study reports chemical synthesis of thiazole based amine compounds as FabH inhibitors, followed by biological evaluation, and computational drug designing analysis with ultimate objective to guide further biological optimization of the identified hits. The compounds were synthesized through Pd-PEPPSI catalyzed cross coupling strategy for the Buchwald-Hartwig amination of thiazole-substituted aryl bromide. Pd-PEPPSI pre-catalysts were utilized for the cross couple with the diverse range of functionalized electron-deficient and electron-rich anilines and aliphatic amines. The thiazole based heteroaryl bromide coupling was found to be challenging and only specialized Pd-PEPPSI-IPr and Pd-PEPPSI-IPent catalysts were found to be effective providing the coupling product yield in the range of 78% to 99%. Biological investigation depicted compound 3f to be effective against Bacillus subtilis, Staphylococcus aureus, Staphylococcus epidermis, and Escherichia coli with mean + standard deviation value of 9.6 ± 0.4, 11.6 ± 0.4, 15.6 ± 0.4, and 11.6 ± 0.4, respectively. This compound is also active against free radicals with EC90 value of 39.45 µg/ml. Comparative docking predictions unravel the 3f binding mode at FabH active tunnel as such to block complete access for the natural substrate and involved balanced hydrogen and hydrophobic interactions. FabH-3f complex dynamics in solution found the docked conformation between the protein and compound of higher stability with mean carbon alpha deviation of 1.87 Å and mean residual deviation of 0.88 Å. Intermolecular interactions analysis depicted Asn274 from FabH active pocket to be significant in compound holding and strengthening of interaction as the simulation progresses. This was supported further by radial distribution function (RDF) and axial frequency distribution (AFD) that demonstrated the high distribution of compound atoms in close proximity of Asn274 residue and decrease in interaction distance. Further, the docking and simulation findings were validated through MMPB/GBSA methods that complements the compound affinity for the said target. In a nutshell, the identified hit could be subjected to structure, biological and pharmacokinetic optimization for development of effective FabH inhibitors.

Immunoinformatics characterization of SARS-CoV-2 spike glycoprotein for prioritization of epitope based multivalent peptide vaccine.

The COVID-19 pandemic caused by SARS-CoV-2 is a public health emergency of international concern and thus calling for the development of effective and safe therapeutics and prophylactics particularly a vaccine to protect against the infection. SARS-CoV-2 spike glycoprotein is an attractive candidate for a vaccine, antibodies, and inhibitors development because of the many roles it plays in attachment, fusion and entry into the host cell. In the present investigation, we characterized the SARS-CoV-2 spike glycoprotein by immunoinformatics techniques to put forward potential B and T cell epitopes, followed by the use of epitopes in construction of a multi-epitope peptide vaccine construct (MEPVC). The MEPVC revealed robust host immune system simulation with high production of immunoglobulins, cytokines and interleukins. Stable conformation of the MEPVC with a representative innate immune TLR3 receptor was observed involving strong hydrophobic and hydrophilic chemical interactions, along with enhanced contribution from salt-bridges towards inter-molecular stability. Molecular dynamics simulation in aqueous milieu aided further in interpreting strong affinity of the MEPVC for TLR3. This stability is the attribute of several vital residues from both TLR3 and MEPVC as shown by radial distribution function (RDF) and a novel axial frequency distribution (AFD) analytical tool. Comprehensive binding free energies estimation was provided at the end that concluded major domination by electrostatic and minor from van der Waals. Summing all, the designed MEPVC has tremendous potential of providing protective immunity against COVID-19 and thus could be considered in experimental studies.

Identification of putative non-host essential genes and novel drug targets against Acinetobacter baumannii by in silico comparative genome analysis.

Acinetobacter baumannii, the gram-negative bacteria emerged as an extremely critical pathogen causing nosocomial and different kinds of infections. A. baumannii exhibit resistivity towards various classes of antibiotics that shows that there is a dire need to search more drug targets by exploiting the full genome of the bacteria. In doing so, a strategy is made with the combination of computational biology, pathogen informatics and cheminformatics. Comparative genomics analysis, modeling and docking studies have been performed for the prediction of non-host essential genes and novel drug candidates against A. baumannii. Among 37 unique and 82 common metabolic pathways, 92 genes were predicted as non-host genes. Similarly, using homology search between A. baumannii genome and essential genes of different bacteria, 293 genes were predicted as essential genes of A. baumannii. Among these predicted non-host and essential genes, 86 genes were predicted as non-host essential genes which could serve as potential novel drug and vaccine targets. Additional drug-target like physicochemical properties were estimated such as the molecular weight, subcellular localization and druggability potential. On the structural part, the crystal structures of all the non-host essential genes of A. baumannii were found except the three genes. Out of these three, a homology model of Undecaprenyl-diphosphatase was built using a PDB template by MODELLER [version 9.18]. The quality of the model was assessed by the ProSA and RAMPAGE. The built model was subjected as a receptor for the molecular docking with Adenosine diphosphate (ADP) as a ligand. The molecular docking was performed by AutoDock4 and the best conformation with lowest binding energy (-4.39 kcal/mol) was obtained. The LigPlot was used to identify the close interactions between the ligand the receptor's residues. This study will further aid for the selection of putative inhibitors against a novel drug target identified against A. baumannii and hence could lead to the better therapeutics.

Visualizing protein-ligand binding with chemical energy-wise decomposition (CHEWD): application to ligand binding in the kallikrein-8 S1 Site.

Kallikrein-8, a serine protease, is a target for structure-based drug design due to its therapeutic potential in treating Alzheimer's disease and is also useful as a biomarker in ovarian cancer. We present a binding assessment of ligands to kallikrein-8 using a residue-wise decomposition of the binding energy. Binding of four putative inhibitors of kallikrein-8 is investigated through molecular dynamics simulation and ligand binding energy evaluation with two methods (MM/PBSA and WaterSwap). For visualization of the residue-wise decomposition of binding energies, chemical energy-wise decomposition or CHEWD is introduced as a plugin to UCSF Chimera and Pymol. CHEWD allows easy comparison between ligands using individual residue contributions to the binding energy. Molecular dynamics simulations indicate one ligand binds stably to the kallikrein-8 S1 binding site. Comparison with other members of the kallikrein family shows that residues responsible for binding are specific to kallikrein-8. Thus, ZINC02927490 is a promising lead for development of novel kallikrein-8 inhibitors.

Subtractive proteomics and immunoinformatics revealed novel B-cell derived T-cell epitopes against Yersinia enterocolitica: An etiological agent of Yersiniosis.

Yersinia enterocolitica is the third most common cause of gastrointestinal manifestations in Europe. Statistically, every year the pathogen accounts for 640 hospitalizations, 117,000 illnesses, and 35 deaths in the United States. The associated mortality rate of the pathogen is 50% and is virtually resistant to penicillin G, ampicillin and cephalotin. The development of new and effective therapeutic procedures is urgently needed to counter the multi-drug-resistant phenotypes imposed by the said pathogen. Based on subtractive reverse vaccinology and immunoinformatics approaches, we have successfully predicted novel antigenic peptide vaccine candidates against Y. enterocolitica. The pipeline revealed two isoforms of ompC family; meoA (ompC) and ompC2 as promising vaccine targets. Protein-protein interactions elaborated the involvement of target candidates in the major biological pathways of the pathogen. The predicted 9-mer B-cell derived T-cell epitope of proteins are found to be virulent, antigenic, non-allergic, surface exposed and conserved in all nine completely sequenced strains of the pathogen. Molecular docking predicts deep and stable binding of the epitopes in the binding pocket of the most predominant allele in human population-the DRB1*0101. These epitopes of target proteins could provide the foundation for the development of an epitope-driven vaccine against Y. enterocolitica.

Subtractive genome analysis for in silico identification and characterization of novel drug targets in Streptococcus pneumonia strain JJA.

Streptococcus pneumoniae (pneumococcus) is a Gram-positive bacterium. Humans are the major target for the pneumococcus. The pneumococcus is a common etiological agent of many different diseases such as bacterial meningitis, pneumonia, otitis media (OM), sinusitis, and conjunctivitis. According to the WHO, the pneumococcus is responsible for causing 1 million deaths each year. In 2000, over 14 million children worldwide under the age of 5 years were diagnosed with a pneumococcal disease, with the highest incidence seen in Africa. The human population most susceptible to pneumococcal infections is that of children due to their immature immune system. A sensational increase in antibiotic resistance among S. pneumoniae has been witnessed in different parts of the world since 1980s. The increase of resistance of S. pneumoniae to antibiotics is of major concern throughout the world. Worldwide, there are concerns about rising levels of antibiotic resistance and fears that the efficacy of antimicrobial therapy may be compromised, resulting in treatment failure and reduced utility of older antibiotics, a comparatively novel method has been used to defeat the resistant pathogens since last decade. The computational subtractive genomics approach is one of them, in which the bacterial pathogen complete proteins is gradually rock-bottom to a small number of likely drug targets. In this approach the steps which are used to find human non-homologs targets, proteins that are essential to the disease causing agent and participation of the selected proteins in pathogen metabolic pathways which are necessary for the survival of bacteria. We used computational subtractive genomics on consummate proteins of the of S. pneumonia strain JJA in this study and concluded with 2 proteins that can be used as potent drug targets against which new dynamic molecules can be planned to make better the action to treat the disease which is related with pathogen.

Antiproliferative, antioxidant and binding mechanism analysis of prodigiosin from newly isolated radio-resistant Streptomyces sp. strain WMA-LM31.

Streptomyces genus are filamentous Gram positive bacteria, of great intrest, producing biologically active compounds. Recent market and consumer curiosity in natural products have forced scientist and industry for the development of new products with therapeutic potential. This study focuses on evaluation of antioxidant and anticancerous properties of prodigiosin from radio-resistant Streptomyces sp. strain WMA-LM31. A molecular docking approach was adopted to understand theoretical binding mechanism and affinity for anticancer targets. A radio-resistant bacterium, labelled as strain WMA-LM31, was isolated from desert soil and screened for its radio-resistant potential and prodigiosin production. 16S rRNA gene sequencing showed that the bacterium clusters to genus Streptomyces and found resistant to ultraviolet radiation (dosage of 2 × 103 J/m2). Strain WMA-LM31 produced a red color pigment in tryptone glucose yeast (TGY) medium.The LC-MS analysis of the purified compound showed a molar mass of 324 [m/z]+ matched the chemical formula C20H25N3O, identified as prodigiosin. The compound showed strong antioxidant (62.51%) activities along with significant inhibitory action against oxidative damages to bovine serum albumin (BSA) and mice liver lipids in comparison to standard ascorbic acid. IC50 values of HepG2 and HeLa cell lines was found at 12.66 and 14.83 µg/mL of prodigiosin concentration, respectively. Furthermore, molecular docking was performed with two different cancers macromolecular targets: [2O2F (Bcl-2) and 1DI8 (CDK-2)], and BSA (PDB id: 3V03). The results indicated that the binding affinity of prodigiosin to its target molecules is due to the presence of terminal pyrrole rings. It is concluded from the results that prodigiosin from Streptomyces sp. strain WMA-LM31 has strong antioxidant, anticancer and apoptotic properties. The knowledge of binding mechanisms and interactions of prodigiosin could provide future directions in designing potent target specifc drugs.

Proteome-wide identification of epitope-based vaccine candidates against multi-drug resistant Proteus mirabilis.

Proteus mirabilis is one of the important pathogens of urinary tract and exhibits resistance to multiple drugs. Development of vaccine tends to be the most promising and cost-effective remedy against the said pathogen. Herein, we implement a combinatorial approach for screening proteins harboring potential broad-spectrum antigenic epitopes in the proteome of P. mirabilis. The targets are host non-homologous, essential and virulent, and have localization in the extracellular and outer membrane. Immuno-informatics revealed antigenic, surface exposed and broad-spectrum B-cell derived T-cell epitopes for three membrane usher family candidates: AtfC, PMI2533 and PMI1466, which could evoke a substantial immune response. Protein-protein interactions of targeted three proteins have shown their involvement in biologically significant pathways indispensable for the growth and survival of the pathogen. The antigenic epitopes are conserved among all completely annotated strains and docked deeply in the binding cavity of the most prevalent allele-DRB1*0101 in human population. Future work is necessary to characterize the shortlisted proteins and epitopes for immune protection in animal models.

Towards a peptide-based vaccine against Shigella sonnei: A subtractive reverse vaccinology based approach.

Shigella sonnei is one of the major causes of shigellosis in technically advanced countries and reports of its unprecedented increase are published from the Middle East, Latin America, and Asia. The pathogen exhibits resistance against first and second line antibiotics which highlights the need for the development of an effective broad-spectrum vaccine. A computational based approach comprising subtractive reverse vaccinology was used for the identification of potential peptide-based vaccine candidates in the proteome of S. sonnei reference strain (53G). The protocol revealed three essential, host non-homologous, highly virulent, antigenic, conserved and adhesive vaccine proteins: TolC, PhoE, and outer membrane porin protein. The cellular interactome of these proteins supports their direct and indirect involvement in biologically significant pathways, essential for pathogen survival. Epitope mapping of these candidates reveals the presence of surface exposed 9-mer B-cell-derived T-cell epitopes of an antigenic, virulent, non-allergen nature and have broad-spectrum potency. In addition, molecular docking studies demonstrated the deep binding of the epitopes in the binding groove and the stability of the complex with the most common binding allele in the human population, DRB1*0101. Future characterization of the screened epitopes in order to further investigate the immune protection efficacy in animal models is highly desirable.

Benzimidazole derivatives as new α-glucosidase inhibitors and in silico studies.

Newly synthesized benzimidazole hydrazone derivatives 1-26 were evaluated for their α-glucosidase inhibitory activity. Compounds 1-26 exhibited varying degrees of yeast α-glucosidase inhibitory activity with IC50 values between 8.40 ± 0.76 and 179.71 ± 1.11 µM when compared with standard acarbose. In this assay, seven compounds that showed highest inhibitory effects than the rest of benzimidazole series were identified. All the synthesized compounds were characterized by different spectroscopic methods adequately. We further evaluated the interaction of the active compounds with enzyme with the help of docking studies.

An insight into the exploration of druggable genome of Streptococcus gordonii for the identification of novel therapeutic candidates.

The discovery of novel drug targets of a genome that can bind with high affinity to drug-like compounds is a significant challenge in drug development. Streptococcus gordonii initiates dental plaque formation and endocarditis by entering into the blood stream, usually after oral trauma. The prolonged use of antibiotics is raising a problem of multi-drug resistance and lack of an optimal therapeutic regime that necessitates the drug discovery of vital importance in curing various infections. To overcome this dilemma, the in silico approach paves the way for identification and qualitative characterization of promising drug targets for S. gordonii that encompass three phases of analyses. The present study deciphers drug target genomes of S. gordonii in which 93 proteins were identified as potential drug targets and 16 proteins were found to be involved in unique metabolic pathways. Highlighted information will convincingly render to facilitate selection of S. gordonii proteins for successful entry into drug design pipelines.

Structure and dynamics studies of sterol 24-C-methyltransferase with mechanism based inactivators for the disruption of ergosterol biosynthesis.

The enzyme sterol 24-C-methyltransferase (SMT) belongs to the family of transferases, specifically to the one-carbon transferring methyltransferases. SMT has been found playing a major role during the production of steroids, especially for the biosynthesis of ergosterol, which is the major membrane sterol in leishmania parasites, causing leishmaniasis. However, SMT and ergosterol are not found in mammals, so, an extensive study has been carried out over the susceptible SMT protein, which is found to be highly conserved among all the Leishmania species and holds a significant anti-leishmanial drug target. To date, there is no computational data available for SMT, due to its highly unexplored profile. In this work, a complete set of structural attributes have been examined through the available computational procedures, along with an attempt to characterize the most capable modeling server available. The exploration ranges from physicochemical characterization, pairwise alignment, secondary structure prediction, to active site detection. With this information, a docking study was carried out to find the compound that best binds into the active site. Moreover, molecular dynamics simulation was conducted to examine the stability of the homology modeled protein and the ligand-enzyme complex. The results indicate that the ligand-enzyme complex is more stable.

Comparative modeling and virtual screening for the identification of novel inhibitors for myo-inositol-1-phosphate synthase.

Myo-inositol-1-phosphate (MIP) synthase is a key enzyme in the myo-inositol biosynthesis pathway. Disruption of the inositol signaling pathway is associated with bipolar disorders. Previous work suggested that MIP synthase could be an attractive target for the development of anti-bipolar drugs. Inhibition of this enzyme could possibly help in reducing the risk of a disease in patients. With this objective, three dimensional structure of the protein was modeled followed by the active site prediction. For the first time, computational studies were carried out to obtain structural insights into the interactive behavior of this enzyme with ligands. Virtual screening was carried out using FILTER, ROCS and EON modules of the OpenEye scientific software. Natural products from the ZINC database were used for the screening process. Resulting compounds were docked into active site of the target protein using FRED (Fast Rigid Exhaustive Docking) and GOLD (Genetic Optimization for Ligand Docking) docking programs. The analysis indicated extensive hydrogen bonding network and hydrophobic interactions which play a significant role in ligand binding. Four compounds are shortlisted and their binding assay analysis is underway.

Three-state dynamics of zinc(II) complexes yielding significant antidiabetic targets.

Protein Tyrosine Phosphatase 1B (PTP1B), being negative regulator of insulin signaling pathways is considered as potential medicinal target. Selective and targeted inhibitors for PTP1B can impact the therapeutic options available to cure chronic illness such as diabetes. Significant research evidence including computational studies on the role of Zn2+ in binding and inhibiting the catalytic pocket have been reported along with experimental exploration of zinc(II) complexes as potent inhibitors of the enzyme. The current study has employed advanced computational methods to explore the binding and conformational orientation of zinc(II) complexes in the active site of apoenzyme, phosphoenzyme, and TSA 2 of PTP1B. Metal ion modeling was performed for zinc metal center (Zn-OOOO) utilizing a Python based Metal Center Parameter Builder (MCPB.py). The findings of the study suggest that zinc(II) complex binds to structurally and functionally important residues in open and closed conformation as well as in the phosphorylated state of the enzyme. It was observed that when the catalytic cysteine is phosphorylated in a closed conformation, the zinc(II) complex forms significant interactions with PHE182, VAL184, GLY183, and PRO180 while pushing away Q-loop GLN262 which is crucial for the hydrolysis of phosphoenzyme. Subsequently, the reported inhibitor has also demonstrated its potential to function as allosteric modulator of the enzyme occupying catalytic WPD loop residues. The study uncovers putative binding sites of zinc-containing drugs and gives insight into the size and design of such compounds which keeps them accessible and anchored in the vicinity of active site residues. Reported inhibitor offers enhanced selectivity and inhibition in all three states of the enzyme in contrast to zinc ions which can only impede enzyme in the phosphorylated state. In addition to this, investigation of ASP265→GLU265 mutation reveals the role of GLU265 in affecting the flexibility of WPD loop residues highlighting it as loss-of-function mutation. Our results hints towards a metallodrug approach that builds on the research evidence of inhibition effects of Zn2+ in the binding pocket of PTP1B. The findings presented are noteworthy, not just due to their significant relevance for clinical application, but also for the design and synthesis of novel zinc(II) complexes.