Best Researcher Award
Kaushal Kishor Sharma
University of The People, India
Kaushal Kishor Sharma is an academic researcher associated with the University of The People whose scholarly work primarily focuses on Agricultural and Biological Sciences, medicinal natural products, computational drug discovery, molecular docking, and therapeutic applications of bioactive compounds. His published studies investigate the biological mechanisms of natural substances such as Ganoderma lucidum, long pepper, ginger, clove, and black pepper while integrating computational approaches for disease-oriented research. These contributions collectively demonstrate an interdisciplinary research profile combining biological sciences with computer-aided therapeutic investigations.[1]
Abstract
The research portfolio of Kaushal Kishor Sharma reflects an interdisciplinary approach that combines biological sciences, computational modeling, molecular docking, and evidence-based reviews of medicinal fungi and plant-derived bioactive compounds. His work investigates therapeutic pathways associated with cancer biology and infectious diseases while employing computational methods to evaluate molecular interactions. The resulting publications contribute to ongoing discussions regarding natural-product drug discovery and provide a foundation for future laboratory and translational investigations.[2]
Keywords
Ganoderma lucidum, Molecular Docking, Agricultural and Biological Sciences, Computational Drug Discovery, Cancer Therapy, SARS-CoV-2, Bioactive Compounds, Medicinal Plants, Natural Products, Therapeutic Pathways.
Introduction
Modern biomedical research increasingly integrates computational analysis with experimental evidence to accelerate therapeutic discovery. Sharma’s publications illustrate this multidisciplinary trend by evaluating naturally occurring compounds through molecular docking, pathway analysis, and comprehensive scientific reviews. Such studies support the identification of promising therapeutic candidates while encouraging further validation through laboratory and clinical investigations.[3]
Research Profile
The available publication record consists of twelve scholarly documents spanning computational biology, medicinal chemistry, and biological sciences. Major themes include anticancer mechanisms of Ganoderma lucidum, gastrointestinal cancer therapeutics, molecular docking against viral and cancer-associated targets, and natural therapeutic strategies supported by computational evidence.[4]
Research Contributions
- Reviewed therapeutic mechanisms of Ganoderma lucidum against multiple cancer pathways.
- Applied molecular docking for evaluating phytochemicals targeting SARS-CoV-2 proteins.
- Investigated DNA Topoisomerase IIβ as a potential molecular target for ganoderic acid.
- Supported interdisciplinary integration of biological sciences with computational drug discovery methodologies.
Publications
- Anti-Cancer Properties of Ganoderma lucidum’s Active Constituents and Pathways (2025).
- Enhancing Gastrointestinal Cancer Therapies with Ganoderma lucidum: A Review of Mechanisms and Efficacy (2025).
- Molecular Docking Studies of Bioactive Constituents against Human Cathepsin-L Protease (2023).
- Molecular Docking Based Analysis of DNA Topoisomerase IIβ and Ganoderic Acid (2020).
Research Impact
The research demonstrates continued interest in computational biology and natural-product therapeutics. Although the current citation indicators remain modest, the published studies contribute valuable review literature and computational analyses that may inform subsequent experimental investigations and interdisciplinary collaborations. The portfolio also reflects sustained engagement with emerging biomedical challenges using accessible computational techniques.[5]
Award Suitability
Based on the available scholarly record, Sharma’s interdisciplinary contributions demonstrate characteristics commonly evaluated for research recognition, including publication activity, subject specialization, computational methodology, and continued exploration of biologically significant therapeutic targets. These qualities align with the objectives of academic recognition programs such as the Computer Scientists Awards while remaining subject to independent peer-review evaluation.[6]
Conclusion
Kaushal Kishor Sharma has established an interdisciplinary publication record focused on computational drug discovery, molecular docking, medicinal fungi, and biological sciences. His research contributes to understanding therapeutic mechanisms of natural compounds while encouraging future translational and experimental studies. Continued publication and collaborative research may further expand the scientific influence of this body of work.
External Links
References
- ORCID. (n.d.). Kaushal Kishor Sharma, ORCID: 0000-0001-9711-9080.
https://orcid.org/0000-0001-9711-9080
- International Journal of Zoological Investigations. (2025). Anti-Cancer Properties of Ganoderma lucidum’s Active Constituents and Pathways.
https://doi.org/10.33745/ijzi.2023.v09i02.060
- Journal of Cancer Biomoleculars and Therapeutics. (2025). Enhancing Gastrointestinal Cancer Therapies with Ganoderma Lucidum.
https://doi.org/10.62382/jcbt.v2i1.28
- Medinformatics. (2023). Molecular Docking Studies of Bioactive Constituents against Human Cathepsin-L Protease.
https://doi.org/10.47852/bonviewMEDIN32021518
- Current Computer-Aided Drug Design. (2020). Molecular Docking Based Analysis to Elucidate DNA Topoisomerase IIβ.
https://doi.org/10.2174/1573409915666190820144759