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HYBRID EVENT: Join us in person in Barcelona, Spain or attend virtually from anywhere.

6th Edition of

Chemistry World Conference

June 18-20, 2026 | Barcelona, Spain

Chemistry 2026

Drug development fundamentals and computer-aided drug design

Speaker at Chemistry World Conference 2026 - Vitthal Chopade
Savitribai Phule Pune University, India
Title : Drug development fundamentals and computer-aided drug design

Abstract:

Drug development is a complex, multidisciplinary process aimed at discovering, optimizing, and delivering safe and effective therapeutic agents. It begins with target identification and validation, followed by hit discovery through screening of natural, synthetic, or combinatorial libraries. Lead compounds are subsequently optimized for improved potency, selectivity, pharmacokinetic, and toxicity profiles. Preclinical evaluation, including in vitro and in vivo studies, assesses safety and efficacy before progression to clinical trials. Despite technological advancements, conventional drug development remains time-consuming, costly, and associated with high attrition rates. Computer-aided drug design (CADD) has emerged as a transformative approach to enhance efficiency and success rates in drug discovery. CADD integrates computational chemistry, molecular modeling, and bioinformatics tools to predict and analyze drug–target interactions at the molecular level. Structure-based drug design (SBDD) utilizes the three-dimensional structure of biological targets to design ligands with optimal binding affinity, while ligand-based drug design (LBDD) relies on known active compounds to develop pharmacophore models and quantitative structure–activity relationships (QSAR). Molecular docking, molecular dynamics simulations, and virtual screening enable rapid identification of promising candidates, reducing experimental burden.

Furthermore, CADD facilitates optimization of absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties, thereby minimizing late-stage failures. Integration of artificial intelligence and machine learning further accelerates predictive accuracy and decision-making. Overall, the synergy between traditional drug development principles and computational methodologies significantly enhances the speed, cost-effectiveness, and precision of modern drug discovery processes, ultimately contributing to the development of safer and more effective therapeutics.

Biography:

Prof. (Dr.) Vitthal Vishram Chopade is a Professor of Pharmaceutical Chemistry at PES Modern College of Pharmacy, Nigdi, Pune, affiliated with Savitribai Phule Pune University. He holds M. Pharm., Ph.D., MBA, and DCA qualifications and has over 21 years of academic and 2 years of industrial experience. His research profile includes 86 publications, 30 patents published (20 granted), 11 books, and 6 book chapters, with an H-index of 12 and over 1290 citations. He has guided 6 Ph.D. scholars (4 awarded) and 38 M.Pharm. students. Dr. Chopade has secured research funding of ₹31 lakhs from AICTE, UGC, and other agencies and completed multiple research projects. He has received several awards, including Best Research Paper and Teacher of the Year, and actively contributes to NAAC, PCI, and AICTE academic processes.

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