Employment
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Sri Venkateswara University Ph.D2013 - 2019
Education
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Sri Venkateswara University Ph.D2013 - 2019
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Sri Venkateswara University B.Sc., Biotechnology? - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (14)
- Discovery of novel inhibitor N3 scaffolds targeting the catalytic dyad and oxyanion-hole loop of SARS-CoV-2 Mpro: Insights from ensemble docking, molecular dynamics, dynamic undocking, and ADMET analysis Save
- Computational design and evaluation of low-toxicity saquinavir analogues targeting the catalytic dyad and oxyanion-hole loop of SARS-CoV-2 Mpro: insights from ensemble docking, molecular dynamics, dynamic undocking, and ADMET analysis Save
- Integration of in silico methods to determine endocrine-disrupting tobacco pollutants binding potency with steroidogenic genes: comprehensive QSAR modeling and ensemble docking strategies Save
- Gene microarray expression profile analysis of differentially expressed genes of potential alternative pathways in non–small cell lung cancer: In search of biomarkers Save
- Structural Probing, Screening and Structure-Based Drug Repositioning Insights into the Identification of Potential Cox-2 Inhibitors from Selective Coxibs Save
- Applications of in silico methods to analyze the toxicity and estrogen receptor-mediated properties of plant-derived phytochemicals Save
- QSAR modeling, pharmacophore-based virtual screening, and ensemble docking insights into predicting potential epigallocatechin gallate (EGCG) analogs against epidermal growth factor receptor Save
- Elucidation of endocrine−disrupting polychlorinated biphenyls binding potency with steroidogenic genes: Integration of in silico methods and ensemble docking approaches Save
- In silico insights into prediction and analysis of potential novel pyrrolopyridine analogs against human MAPKAPK-2: a new SAR-based hierarchical clustering approach Save
- In silico insights into the identification of potential novel angiogenic inhibitors against human VEGFR-2: a new SAR-based hierarchical clustering approach Save