Sachidanand Singh | Bioinformatics | Best Academic Researcher Award

Published-on by Indian Scientist

Assoc. Prof. Dr. Sachidanand Singh | Bioinformatics | Best Academic Researcher Award

Pandit Deendayal Energy University, India

Prof. Sachidanand Singh’s research focuses on bioinformatics, network biology, plant biotechnology, and computational drug discovery, with significant contributions to disease pathway analysis, genome-wide association studies, and next-generation sequencing data interpretation. His work integrates molecular modeling, protein–protein interaction networks, and systems biology to identify therapeutic targets for complex diseases such as rheumatoid arthritis, neurodegenerative disorders, and infectious diseases. He has led and contributed to SERB- and state-funded projects, holds multiple international and Indian patents, and has published extensively in high-impact, Scopus- and SCI-indexed journals, advancing translational research in biotechnology and biomedical informatics.

Citation Metrics (Scopus)

1200
800
100
20
0

Citations
833

Documents
88

h-index
17

Citations

Documents

h-index

Featured Publications

Satyamvada Maurya | Computational Biology | Best Researcher Award

Published-on by Indian Scientist

Mrs. Satyamvada Maurya | Computational Biology | Best Researcher Award

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.

Krishna Pada Das | Biomathematics | Best Researcher Award

Published-on by Indian Scientist

Assoc. Prof. Dr. Krishna Pada Das | Biomathematics | Best Researcher Award

Mahadevananda Mahavidyalaya | India

Dr. Krishna Pada Das is an Associate Professor of Mathematics whose research primarily focuses on mathematical biology, especially population dynamics and eco-epidemiological systems. His work explores how infectious diseases interact with ecological food webs, including predator-prey and plankton systems, and how factors such as alternative food, nutrient levels, environmental toxins, diffusion, seasonal effects, and harvesting influence system stability or generate complex behaviors like chaos and oscillation. He employs mathematical modeling through differential equations (ODE, DDE, stochastic systems), fractional calculus, spatio-temporal dynamics, and computational simulation using MATLAB, MAPLE, and MATHEMATICA to analyze stability, bifurcation, and long-term behavior of biological systems. His research has contributed to understanding control strategies for harmful algal blooms, disease propagation in ecosystems, phytoplankton-zooplankton interactions, and tri-trophic food chain dynamics. In recent work, he has also examined epidemic models including COVID-19 and HIV transmission, applying sensitivity analysis, parameter estimation, and optimal control strategies. With an extensive list of research publications in international journals and collaborative studies, his contributions support improved ecological system management, disease control measures, and deeper theoretical insights into nonlinear biological dynamics.

Profile: Google Scholar

Featured Publications

Das, K., & Mukherjee, A. K. (2007). Differential utilization of pyrene as the sole source of carbon by Bacillus subtilis and Pseudomonas aeruginosa strains: Role of biosurfactants in enhancing availability. Journal of Applied Microbiology, 102(1), 195–203.

Dutta, S. K., Das, K., Ghosh, B., & Blackman, C. F. (1992). Dose dependence of acetylcholinesterase activity in neuroblastoma cells exposed to modulated radio-frequency electromagnetic radiation. Bioelectromagnetics, 13(4), 317–322.

Soni, B. K., Das, K., & Ghose, T. K. (1982). Bioconversion of agro-wastes into acetone butanol. Biotechnology Letters, 4(1), 19–22.

Kooi, B. W., van Voorn, G. A. K., & Das, K. P. (2011). Stabilization and complex dynamics in a predator–prey model with predator suffering from an infectious disease. Ecological Complexity, 8(1), 113–122.

Das, C. R., Mondal, N. K., Aditya, P., Datta, J. K., Banerjee, A., & Das, K. (2012). Allelopathic potentialities of leachates of leaf litter of some selected tree species on gram seeds under laboratory conditions. Asian Journal of Experimental Biological Sciences, 3(1), 59–65.