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Featured researches published by Sharat Chandra.


Medicinal Research Reviews | 2014

Human DNA Ligases: A Comprehensive New Look for Cancer Therapy

Deependra Kumar Singh; Shagun Krishna; Sharat Chandra; Mohammad Shameem; Amit Laxmikant Deshmukh; Dibyendu Banerjee

Living organisms belonging to all three domains of life, viz., eubacteria, archaeabacteria, and eukaryotes encode one or more DNA ligases. DNA ligases are indispensable in various DNA repair and replication processes and a deficiency or an inhibition of their activity can lead to accumulation of DNA damage and strand breaks. DNA damage, specially strand breaks at unsustainable levels can lead to replication block and/or cell death. DNA ligases as potential anticancer targets have been realized only recently. There is enough rationale to suggest that ligases have a tremendous potential for novel therapeutics including anticancer and antibacterial therapy, specially when the world is facing acute problems of drug resistance and chemotherapy failure, with an immediate need for new therapeutic targets. Here, we review the current state of the art in the development of human ligase inhibitors, their structures, molecular mechanisms, physiological effects, and their potential in future cancer therapy. Citing examples, we focus on strategies for improving the activity and specificity of existing and novel inhibitors by using structure‐based rational approaches. In the end, we describe potential new sites on the ligase I protein that can be targeted for the development of novel inhibitors. This is the first comprehensive review to compile all known human ligase inhibitors and to provide a rationale for the further development of ligase inhibitors for cancer therapy.


Molecular Endocrinology | 2014

Synthetic FXR Agonist GW4064 Is a Modulator of Multiple G Protein–Coupled Receptors

Nidhi Singh; Manisha Yadav; Abhishek Singh; Harish Kumar; Shailendra Kumar Dhar Dwivedi; Jay Sharan Mishra; Anagha Gurjar; Amit Manhas; Sharat Chandra; Prem N. Yadav; Kumaravelu Jagavelu; Mohammad Imran Siddiqi; Arun Kumar Trivedi; Naibedya Chattopadhyay; Sabyasachi Sanyal

The synthetic nuclear bile acid receptor (farnesoid X receptor [FXR]) agonist GW4064 is extensively used as a specific pharmacological tool to illustrate FXR functions. We noticed that GW4064 activated empty luciferase reporters in FXR-deficient HEK-293T cells. We postulated that this activity of GW4064 might be routed through as yet unknown cellular targets and undertook an unbiased exploratory approach to identify these targets. Investigations revealed that GW4064 activated cAMP and nuclear factor for activated T-cell response elements (CRE and NFAT-RE, respectively) present on these empty reporters. Whereas GW4064-induced NFAT-RE activation involved rapid intracellular Ca(2+) accumulation and NFAT nuclear translocation, CRE activation involved soluble adenylyl cyclase-dependent cAMP accumulation and Ca(2+)-calcineurin-dependent nuclear translocation of transducers of regulated CRE-binding protein 2. Use of dominant negative heterotrimeric G-protein minigenes revealed that GW4064 caused activation of Gαi/o and Gq/11 G proteins. Sequential pharmacological inhibitor-based screening and radioligand-binding studies revealed that GW4064 interacted with multiple G protein-coupled receptors. Functional studies demonstrated that GW4064 robustly activated H1 and H4 and inhibited H2 histamine receptor signaling events. We also found that MCF-7 breast cancer cells, reported to undergo GW4064-induced apoptosis in an FXR-dependent manner, did not express FXR, and the GW4064-mediated apoptosis, also apparent in HEK-293T cells, could be blocked by selective histamine receptor regulators. Taken together, our results demonstrate identification of histamine receptors as alternate targets for GW4064, which not only necessitates cautious interpretation of the biological functions attributed to FXR using GW4064 as a pharmacological tool but also provides a basis for the rational designing of new pharmacophores for histamine receptor modulation.


Bioinformation | 2010

Prediction and characterization of T-cell epitopes for epitope vaccine design from outer membrane protein of Neisseria meningitidis serogroup B.

Sharat Chandra; Digvijay Singh; Tiratha Raj Singh

Neisseria meningitidis serogroup B (MC58) is a leading cause of meningitis and septicaemia, principally infects the infants and adolescents. No vaccine is available for the prevention of these infections because the serogroup B capsular polysaccharide is unable to stimulate an immune response, due to its similarity with polysialic acid. To overcome these obstacles, we proposed to develop a peptide based epitope vaccine from outer membrane protein contained in outer membrane vesicles (OMV) based on our computational analysis. In OMV a total of 236 proteins were identified, only 15 (6.4%) of which were predicted to be located in outer membrane. The major requirement is the identification and selection of T-cell epitopes that act as a vaccine target. We have selected 13 out of 15 outer membrane proteins from OMV proteins. Due to similarity of the fkpA and omp85 with the human FKBP2 and SAMM50 protein, we removed these two sequences from the analysis as their presence in the vaccine is likely to elicit an autoimmune response. ProPred and ProPred1 were used to predict promiscuous helper T Lymphocytes (HTL) and cytotoxic T Lymphocytes (CTL) epitopes and MHCPred for their binding affinity in N. meningitidis serogroup B (MC58), respectively. Binding peptides (epitopes) are distinguished from nonbinding peptides in properties such as amino acid preference on the basis of amino acid composition. By using this dataset, we compared physico-chemical and structural properties at amino acid level through amino acid composition, computed from ProtParam server. Results indicate that porA, porB, opc, rmpM, mtrE and nspA are more suitable vaccine candidates. The predicted peptides are expected to be useful in the design of multi-epitope vaccines without compromising the human population coverage


Current Pharmaceutical Design | 2014

Recent Advances in the Development of Antiviral Agents Using Computer-aided Structure Based Approaches

Vikash Kumar; Sharat Chandra; Mohammad Imran Siddiqi

Viral diseases have been affecting the human race since ancient times. Currently, a long list of diseases caused by the viruses is available and extensive research in this area has resulted in understanding the finest details of the molecular mechanism of pathogenesis caused by these pathogens. Side by side, efforts have been made towards the search and design of antiviral agents that could interfere with viral pathogenesis. As a result of these efforts a number of effective antiviral agents have been developed and are available in the market. However, the high cost and lengthy protocol of the drug discovery process are some of the major limiting factors in the development of new and more effective antiviral agents. Considering the above fact, presently the research community is trying to integrate short and cost effective techniques in the modern drug discovery process for the identification and design of novel antiviral agents. Computeraided drug design (CADD), which comprises of various techniques like molecular docking, virtual screening, three dimensional quantitative structure activity relationship (3D-QSAR) studies and many more, has the capability to speed up the antiviral drug development process. Successful design of antiviral drugs like Relenza, Saquinavir and Tamiflu have validated application of these techniques and holds a bright future in drug discovery protocol. This review explores the role of CADD in antiviral drug development and highlights the recent advances in antiviral drug research using computer-aided structure based approaches.


Antimicrobial Agents and Chemotherapy | 2014

Characterization of the Proliferating Cell Nuclear Antigen of Leishmania donovani Clinical Isolates and Its Association with Antimony Resistance

Rati Tandon; Sharat Chandra; Rajendra K. Baharia; Sanchita Das; Pragya Misra; Awanish Kumar; Mohammad Imran Siddiqi; Shyam Sundar; Anuradha Dube

ABSTRACT Previously, through a proteomic analysis, proliferating cell nuclear antigen (PCNA) was found to be overexpressed in the sodium antimony gluconate (SAG)-resistant clinical isolate compared to that in the SAG-sensitive clinical isolate of Leishmania donovani. The present study was designed to explore the potential role of the PCNA protein in SAG resistance in L. donovani. For this purpose, the protein was cloned, overexpressed, purified, and modeled. Western blot (WB) and real-time PCR (RT-PCR) analyses confirmed that PCNA was overexpressed by ≥3-fold in the log phase, stationary phase, and peanut agglutinin isolated procyclic and metacyclic stages of the promastigote form and by ∼5-fold in the amastigote form of the SAG-resistant isolate compared to that in the SAG-sensitive isolate. L. donovani PCNA (LdPCNA) was overexpressed as a green fluorescent protein (GFP) fusion protein in a SAG-sensitive clinical isolate of L. donovani, and modulation of the sensitivities of the transfectants to pentavalent antimonial (SbV) and trivalent antimonial (SbIII) drugs was assessed in vitro against promastigotes and intracellular (J774A.1 cell line) amastigotes, respectively. Overexpression of LdPCNA in the SAG-sensitive isolate resulted in an increase in the 50% inhibitory concentrations (IC50) of SbV (from 41.2 ± 0.6 μg/ml to 66.5 ± 3.9 μg/ml) and SbIII (from 24.0 ± 0.3 μg/ml to 43.4 ± 1.8 μg/ml). Moreover, PCNA-overexpressing promastigote transfectants exhibited less DNA fragmentation compared to that of wild-type SAG-sensitive parasites upon SbIII treatment. In addition, SAG-induced nitric oxide (NO) production was found to be significantly inhibited in the macrophages infected with the transfectants compared with that in wild-type SAG-sensitive parasites. Consequently, we infer that LdPCNA has a significant role in SAG resistance in L. donovani clinical isolates, which warrants detailed investigations regarding its mechanism.


International Journal of Biological Macromolecules | 2016

NADP+ binding effects tryptophan accessibility, folding and stability of recombinant B. malayi G6PD

Anita Verma; Sharat Chandra; Manish Kumar Suthar; Pawan Kumar Doharey; Mohammad Imran Siddiqi; Jitendra Kumar Saxena

Brugia malayi Glucose 6-phosphate dehydrogenase apoenzyme (BmG6PD) was expressed and purified by affinity chromatography to study the differences in kinetic properties of enzyme and the effect of the cofactor NADP(+) binding on enzyme stability. The presence of cofactor NADP(+) influenced the tertiary structure of enzyme due to significant differences in the tryptophan microenvironment. However, NADP(+) binding have no effect on secondary structure of the enzyme. Quenching with acrylamide indicated that two or more tryptophan residues became accessible upon cofactor binding. Unfolding and cross linking study of BmG6PD showed that NADP(+) stabilized the protein in presence of high concentration of urea/GdmCl. A homology model of BmG6PD constructed using human G6PD (PDB id: 2BH9) as a template indicated 34% α-helix, 19% β-sheet and 47% random coil conformations in the predicted model of the enzyme. In the predicted model binding of NADP(+) to BmG6PD was less tight with the structural sites (-10.96 kJ/mol binding score) as compared with the coenzyme site (-15.47 kJ/mol binding score).


Antimicrobial Agents and Chemotherapy | 2013

Molecular characterization of an rsmD-like rRNA methyltransferase from the Wolbachia endosymbiont of Brugia malayi and antifilarial activity of specific inhibitors of the enzyme.

Ajay Kumar Rana; Sharat Chandra; Mohammad Imran Siddiqi; Shailja Misra-Bhattacharya

ABSTRACT The endosymbiotic organism Wolbachia is an attractive antifilarial drug target. Here we report on the cloning and expression of an rsmD-like rRNA methyltransferase from the Wolbachia endosymbiont of Brugia malayi, its molecular properties, and assays for specific inhibitors. The gene was found to be expressed in all the major life stages of B. malayi. The purified enzyme expressed in Escherichia coli was found to be in monomer form in its native state. The activities of the specific inhibitors (heteroaryl compounds) against the enzyme were tested with B. malayi adult and microfilariae for 7 days in vitro at various concentrations, and NSC-659390 proved to be the most potent compound (50% inhibitory concentration [IC50], 0.32 μM), followed by NSC-658343 (IC50, 4.13 μM) and NSC-657589 (IC50, 7.5 μM). On intraperitoneal administration at 5 mg/kg of body weight for 7 days to adult jirds into which B. malayi had been transplanted intraperitoneally, all the compounds killed a significant proportion of the implanted worms. A very similar result was observed in infected mastomys when inhibitors were administered. Docking studies of enzyme and inhibitors and an in vitro tryptophan quenching experiment were also performed to understand the binding mode and affinity. The specific inhibitors of the enzyme showed a higher affinity for the catalytic site of the enzyme than the nonspecific inhibitors and were found to be potent enough to kill the worm (both adults and microfilariae) in vitro as well as in vivo in a matter of days at micromolar concentrations. The findings suggest that these compounds be evaluated against other pathogens possessing a methyltransferase with a DPPY motif and warrant the design and synthesis of more such inhibitors.


Journal of Molecular Graphics & Modelling | 2017

Multiple machine learning based descriptive and predictive workflow for the identification of potential PTP1B inhibitors

Sharat Chandra; Jyotsana Pandey; Akhilesh K. Tamrakar; Mohammad Imran Siddiqi

In insulin and leptin signaling pathway, Protein-Tyrosine Phosphatase 1B (PTP1B) plays a crucial controlling role as a negative regulator, which makes it an attractive therapeutic target for both Type-2 Diabetes (T2D) and obesity. In this work, we have generated classification models by using the inhibition data set of known PTP1B inhibitors to identify new inhibitors of PTP1B utilizing multiple machine learning techniques like naïve Bayesian, random forest, support vector machine and k-nearest neighbors, along with structural fingerprints and selected molecular descriptors. Several models from each algorithm have been constructed and optimized, with the different combination of molecular descriptors and structural fingerprints. For the training and test sets, most of the predictive models showed more than 90% of overall prediction accuracies. The best model was obtained with support vector machine approach and has Matthews Correlation Coefficient of 0.82 for the external test set, which was further employed for the virtual screening of Maybridge small compound database. Five compounds were subsequently selected for experimental assay. Out of these two compounds were found to inhibit PTP1B with significant inhibitory activity in in-vitro inhibition assay. The structural fragments which are important for PTP1B inhibition were identified by naïve Bayesian method and can be further exploited to design new molecules around the identified scaffolds. The descriptive and predictive modeling strategy applied in this study is capable of identifying PTP1B inhibitors from the large compound libraries.


Bioinformation | 2012

Molecular modelling, docking and interaction studies of human-plasmogen and salmonella- enolase with enolase inhibitors

Digvijay Singh Chauhan; Sharat Chandra; Arun Gupta; Tiratha Raj Singh

Salmonella enteric serovar Typhi Ty2 is a human specific pathogen and an etiological agent for typhoid fever. Most of Salmonella serotypes produce glycogen which has a comparatively minor role in virulence and colonization, but has a more significant role in survival. Enzymes present in glycolytic pathway of bacteria help bacteria to survive by activating other factors inside host. Numerous pathogenic bacteria species intervene with the plasminogen system, and this plasminogen–enolase association may play a critical role in the virulence of S. Typhi by causing direct damage to the host cell extracellular matrix, possibly by enzymic degradation of extracellular matrix proteins or other protein constituents. In this study, molecular modelling of enolase of Salmonella has been accomplished in silico by comparative modelling; we have then analyzed Human alpha enolase which is a homodimer and serves on epithelial cells with our model. Both Structures were docked by D-tartronate semialdehyde phosphate (TSP) and 3-aminoenolpyruvate phosphate (AEP) enolase inhibitors. Our study shows that salmonella enolase and human enolase have different active sites in their structure. This will help in development of new ligands, more suitable for inhibiting bacterial survival inside host as vaccines for typhoid fever are not fully protective. The study also confirmed that enolase Salmonella and Human Plasminogen suggested direct physical interaction between both of them as the activation loop of plasminogen residues showed conformational changes similar to the tissue type plasminogen activator. Various computational biology tools were used for our present study such as Modeller, Molegro Virtual Docker, Grommacs.


Tuberculosis | 2016

Some proteins of M. tuberculosis that localise to the nucleus of THP-1-derived macrophages

Atul Kumar Agrawal; Rajeev Ranjan; Sharat Chandra; Tofan Kumar Rout; Amit Misra; Thota Jagadeshwar Reddy

Host-pathogen dialectics in tuberculosis (TB) via DNA-protein interactions are emerging. We investigated whether proteins produced by Mycobacterium tuberculosis (Mtb) could translocate to the host nucleus. Using lysates of nuclei purified from Mtb-infected THP-1-derived macrophages, we identified at least 15 proteins of Mtb-origin by electrophoretic and chromatographic separation and mass spectrometry. Western blotting confirmed time-dependent accumulation of Mtb EF-Tu, GroEL, GroES and MtrA in the host nucleus. MtrA could pull down at least 16 host proteins. Mtb proteins may have moonlighting functions that affect host gene expression.

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Mohammad Imran Siddiqi

Central Drug Research Institute

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Tiratha Raj Singh

Jaypee University of Information Technology

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Amit Laxmikant Deshmukh

Central Drug Research Institute

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Anuradha Dube

Central Drug Research Institute

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Arun Gupta

Devi Ahilya Vishwavidyalaya

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Deependra Kumar Singh

Central Drug Research Institute

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Dibyendu Banerjee

Central Drug Research Institute

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Neha Rahuja

Central Drug Research Institute

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Pankaj Nag

Central Drug Research Institute

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Pragya Misra

Central Drug Research Institute

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