04 August, 2026

Workshop on "Molecular Docking Made Simple" by The Postgraduate Department of Chemistry on 22nd June 2026

 


The Post Graduate Department of Chemistry, T. K. Madhava Memorial College, Nangiarkulangara organized a Workshop on "Molecular Docking Made Simple" on 22 June 2026 at the CADD Lab, Department of Chemistry, from 10.00 a.m. to 1.00 p.m. The workshop was conducted to provide participants with a practical introduction to molecular docking techniques and their applications in modern drug discovery.

The programme commenced with a welcome address by Dr. Aswathy S. P., Head of the Department and Workshop Coordinator, who welcomed the resource person and participants. She highlighted the growing importance of computational approaches in pharmaceutical research and emphasized the need for students to acquire hands-on skills in molecular modelling and docking. The workshop was aimed to give an introductory session for S5 FYUGP students and M.Sc. Chemistry students.

The technical session was handled by Dr. Sreeja V., Assistant Professor, S.N. College, Punalur. Through an engaging blend of theory and practical demonstrations, she introduced the fundamentals of molecular docking, ligand and receptor preparation, docking protocols, interpretation of binding interactions, and the significance of docking studies in structure-based drug design. Participants also gained hands-on experience using molecular docking software to perform basic docking simulations and analyze the results. About 18 students were able to complete the workshop.

The workshop concluded with an interactive discussion, during which participants clarified their queries and shared their learning experiences. Ms. Sonima V proposed the vote of thanks, expressing sincere gratitude to the resource person for her valuable guidance, the Principal, faculty members, organizing committee, and all participants for contributing to the successful conduct of the workshop. The programme proved to be highly informative and skill-oriented, equipping students with a strong foundation in computational drug discovery techniques.


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