Early Academic Pursuits

His academic journey began with a Bachelor's degree in Chemistry from the University of Madras, India, laying the groundwork for his subsequent endeavors in bioinformatics. He further pursued a Master's degree in Bioinformatics from the same institution, honing his skills in computational biology and molecular analysis. Driven by a passion for scientific exploration, he pursued a Ph.D. in Bioinformatics at Chosun University, Gwangju, South Korea, delving into advanced methodologies for predicting and designing small molecules and peptides.

Professional Endeavors

Armed with a solid academic foundation, he transitioned into the realm of academia and industry. He commenced his professional journey as a Junior Executive in GMP-QA at Orchid Chemicals & Pharmaceuticals Ltd, gaining practical experience in pharmaceutical quality assurance. Subsequently, he embarked on an academic career, serving as an Assistant Professor and later as an Associate Professor at SRMIST, India, where he continues to make significant contributions to the field of genetic engineering.

Contributions and Research Focus in Bioinformatics

His research is focused on developing innovative machine learning methods for predicting and designing small molecules and peptides. His expertise encompasses ligand-based and structure-based pharmacophore design, computational analysis of organic molecules, proteins, and protein-ligand interactions, as well as molecular dynamics simulations studies. He is actively involved in determining molecular activities using 3D-QSAR or quantum chemistry calculations, pushing the boundaries of bioinformatics and computational biology.

Accolades and Recognition

His contributions to the field of bioinformatics have been recognized with prestigious awards, including the Young Scientist Award from the Science and Engineering Research Board (SERB). His prolific publication record, comprising 46 SCI/SCI-E publications, highlights the impact of his research on the scientific community. With 29 first/corresponding author publications and a total of 687 citations, he has established himself as a leading researcher in the field, with an impressive h-index of 14 and i10-index of 20.

Impact and Influence

Through his groundbreaking research, he has made significant contributions to advancing bioinformatics, computational biology, genomics, proteomics, and systems biology. His work has not only deepened our understanding of molecular interactions but also paved the way for the development of novel therapeutic strategies and drug discovery approaches. His influence extends beyond academia, impacting the broader scientific community and contributing to the advancement of biomedical sciences.

Legacy and Future Contributions

Notable Publications

• Computational evaluation of major components from plant essential oils as potent inhibitors of SARS-CoV-2 spike protein
• Docking and 3D-QSAR (quantitative structure activity relationship) studies of flavones, the potent inhibitors of p-glycoprotein targeting the nucleotide binding domain
• Anti‐inflammatory role demonstrated both in vitro and in vivo models using nonsteroidal tetranortriterpenoid, Nimbin (N1) and its analogs (N2 and N3) that alleviate the …
• Antiviral essential oil components against SARS-CoV-2 in pre-procedural mouth rinses for dental settings during COVID-19: A computational study
• In Silico Quantitative Structure-Activity Relationship Studies on P-gp Modulators of Tetrahydroisoquinoline-Ethyl-Phenylamine Series
• MLACP 2.0: An updated machine learning tool for anticancer peptide prediction
• Binding Site Analysis of CCR2 Through In Silico Methodologies: Docking, CoMFA, and CoMSIA
• Computational Analysis of CRTh2 receptor antagonist: A Ligand-based CoMFA and CoMSIA approach
• A combined 3D QSAR and pharmacophore-based virtual screening for the identification of potent p38 MAP kinase inhibitors: An in silico approach