Mysuru: JSS Academy of Higher Education & Research (JSS AHER), Mysuru, will organise a two-day workshop titled “Next Generation Therapeutic Modalities: Integrating Medicinal Chemistry and Computational Intelligence for Modern Drug Design” on March 6–7, 2026.
The workshop is being conducted by the Department of Pharmaceutical Chemistry, JSS College of Pharmacy, Mysuru, in association with the Indian Pharmaceutical Association, Karnataka State Branch.
The event aims to equip participants with insights into modern drug discovery approaches that combine medicinal chemistry with artificial intelligence (AI), machine learning (ML), and network pharmacology. According to the workshop brochure, the programme will explore next-generation therapeutic modalities such as PROTACs, biologics, RNA-based drugs, AI-driven lead optimisation, and systems-level target prediction.
Sessions will be led by industry and academic experts including Dr. Sujay Basu (Eurofins Advinus Discovery Services, Hyderabad), Dr. BVS Suneel Kumar (PI Health Sciences, Hyderabad), Dr. Dhivya Shanmugarajan (Mirai Dynamics, Chennai), Dr. N. Kiruthiga (KMCH College of Pharmacy, Coimbatore), and Dr. Saravanan P (JSSAHER, Mysuru).
The workshop will be held at the Golden Jubilee and Digital Theatre, JSS College of Pharmacy, Mysuru. It will include expert lectures and hands-on training sessions in molecular docking, ADMET analysis, and network biology tools.
Key Points:
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Dates: March 6–7, 2026
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Venue: Golden Jubilee and Digital Theatre, JSS College of Pharmacy, Mysuru
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Mode: Offline
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Registration Fee: ₹1180 (including 18% GST)
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Seats: Limited to 60 participants
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Eligibility: Faculty members, research scholars, industrial representatives, and postgraduate students
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Benefits: Delegate kit, lunch and refreshments, and certificate upon successful completion
With its strong emphasis on AI-driven drug discovery and next-generation therapeutic strategies, the workshop is expected to offer valuable exposure to researchers, faculty, and industry professionals seeking to bridge traditional medicinal chemistry with emerging computational technologies. Interested participants are advised to register early due to limited seats.
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