0009-0007-0802-0451 About
• Ph.D. Scholar in the Laboratory for Computational Biology & Biomolecular Design (LCBD) at the Indian Institute of Technology (Banaras Hindu University), Varanasi. I am working in the areas of Computational Biology, Structural Bioinformatics, Computational Biophysics & Translational Bioinformatics.
• For Academic & Research purposes I have practical and theoretical knowledge in various domains of life sciences: Machine Learning algorithms, Bioinformatics databases and software's, Structural & Functional Genomics, Cancer biology, Modelling & Simulations, Computational & System Biology, NGS , Microarray, Molecular Docking , Drug Design, Protein Modelling , Biostatistics, Computer Programming Language (Python & R).
• Effective communicator and negotiator with strong analytical, problem-solving, and organizational skills; quick learner; and can harmoniously adapt to a dynamic environment.
• Aspire to work for a research and development company and contribute skills for the growth of the hiring company.
Employment
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Indian Institute of Technology BHU Ph.D. Scholar2023 - 2027
Education
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Indian Institute of Technology BHU Ph.D. (Computational Biology)2023 - 2027
Projects & Funding
Projects & funding information is unavailable.
Publications (9)
- Synergizing multiresolution simulations, interface redesign, and hotspot mapping to decipher pathogenic mutation-driven structural modulation in VCP Save
- Multiscale Simulations and Profiling of Human Thymidine Phosphorylase Mutations: Insights into Structural, Dynamics, and Functional Impacts in Mitochondrial Neurogastrointestinal Encephalopathy Save
- Navigating the landscape: A comprehensive overview of computational approaches in therapeutic antibody design and analysis Save
- Integrated computational characterization of valosin-containing protein double-psi β-barrel domain: Insights into structural stability, binding mechanisms, and evolutionary significance Save
- Bebtelovimab‐bound SARS‐CoV‐2 RBD mutants: resistance profiling and validation with escape mutations, clinical results, and viral genome sequences Save
- Interface design of SARS-CoV-2 symmetrical nsp7 dimer and machine learning-guided nsp7 sequence prediction reveals physicochemical properties and hotspots for nsp7 stability, adaptation, and therapeutic design Save
- Bioinformatics Approach to Understand the LncRNA Landscape of Psoriasis Save
- Bioinformatics Approach to Understand the LncRNA Landscape of Psoriasis Save
- Role of Non-coding RNA in Inflammatory Skin Diseases Save