ICAR-National Bureau of Fish Genetic Resources | India
Dr. Satyamvada Maurya is a bioinformatics researcher with extensive experience in genomics, computational biology, and drug discovery. She holds a Ph.D. in Bioinformatics, focusing on the design and development of novel anti-tuberculosis agents through computational approaches. Her academic foundation includes a Master’s in Bioinformatics and a Bachelor’s in Biotechnology, which laid the groundwork for her multidisciplinary research. She has worked as a Project Assistant and Young Professional in premier Indian research institutes, contributing to projects in genome analysis, database development, SNP characterization, and functional genomics of aquatic organisms, particularly Clarias magur. Her research interests span next-generation sequencing, genome analysis, protein structure-function prediction, drug design, homology modeling, phylogenetic analysis, and database creation for biological resources. She has authored multiple research articles, book chapters, training manuals, and popular science articles, accumulating 27 citations with an h-index of 3 and i10-index of 1, reflecting the impact of her work. She has received awards including the TEQIP fellowship and best presentation accolades at national and international conferences. Dr. Maurya is committed to advancing bioinformatics applications in both healthcare and aquaculture, bridging computational tools with experimental biology to address complex biological challenges. Her work continues to contribute to the development of innovative solutions in genomics and drug discovery.
Profile: Google Scholar
Featured Publications
Verma, S., Maurya, R., & Maurya, S. (2016). Prediction of gene action and combining ability for yield and quality traits in F1 and F2 generations of wheat (Triticum aestivum L.). Tropical Plant Research, 3(2), 449–459.
Maurya, S., Jain, A., Singh, V., Haque, S., & Mishra, B. N. (2023). Evaluation of Saraca asoca for its anti-tubercular potential via molecular docking and molecular dynamics simulation studies. ChemistrySelect, 8(12), e202204899.
Maurya, S., Alhazmi, A., Vidyarthi, A. S., Jain, A., Singh, V., Khan, F., Haque, S., & Mishra, B. N. (2022). In-silico study reveals potential antitubercular drug targets unique to Mycobacterium tuberculosis H37Rv. Minerva Biotechnology & Biomolecular Research, 34(2), 71–79.
Maurya, S., Kumar, M. S., Kumar, R., & Kushwaha, B. (2024). Role of machine learning and artificial intelligence in transforming aquaculture and fisheries sector. Indian Farming, 74(8), 24–27.
Maurya, S., Jain, A., Rehman, M. T., Hakamy, A., Bantun, F., AlAjmi, M. F., Singh, V., … Mishra, B. N. (2023). In silico identification of novel derivatives of rifampicin targeting Ribonuclease VapC2 of M. tuberculosis H37Rv: Rifampicin derivatives target VapC2 of Mtb H37Rv. Molecules, 28(4), 1652.