• Why This Workshop Matters
• Focus Areas of the Workshop
• Expert Resource Speakers
• Who Should Attend
• Venue and Participation Details
• Advancing Skills for the Future of Drug Discovery

Next-Generation Therapeutic Modalities Workshop 2026 at JSS College of Pharmacy, Mysuru

The Department of Pharmaceutical Chemistry, JSS College of Pharmacy, Mysuru, under JSS Academy of Higher Education & Research (Deemed to be University), is organizing a Two-Day Workshop on Next Generation Therapeutic Modalities: Integrating Medicinal Chemistry and Computational Intelligence for Modern Drug Design, scheduled for 6–7 March 2026.

The workshop addresses a critical shift in pharmaceutical research: the integration of medicinal chemistry with computational intelligence to accelerate drug discovery and improve therapeutic outcomes.

Why This Workshop Matters

Modern drug discovery is no longer driven by trial-and-error chemistry alone. Advances in artificial intelligence, machine learning, network pharmacology, and systems biology have transformed how targets are identified, optimized, and validated.

This workshop is designed to bridge the gap between traditional medicinal chemistry and next-generation computational approaches, enabling participants to understand how modern drug pipelines are built—from target prediction to lead optimization and safety assessment.

Focus Areas of the Workshop

Participants will gain exposure to both conceptual frameworks and practical methodologies used in contemporary drug discovery, including:

• Next-generation therapeutic modalities such as PROTACs, biologics, and RNA-based drugs

• Network pharmacology and systems-level target identification

• AI-driven lead optimization strategies

• Molecular docking and structure-based drug design

• ADMET prediction and safety profiling using computational tools

• Integration of medicinal chemistry with data-driven discovery platforms

The sessions combine expert lectures with interactive discussions and hands-on components to ensure practical learning.

Expert Resource Speakers

The workshop features experienced professionals from academia and industry who are actively engaged in drug discovery and computational research:

• Dr. Sujay Basu, Director – Discovery Chemistry, Eurofins Advinus Discovery Services, Hyderabad

• Dr. BVS Suneel Kumar, Head – Drug Design & AI, PI Health Sciences, Hyderabad

• Dr. N. Kiruthiga, Associate Professor, KMCH College of Pharmacy, Coimbatore

• Dr. Saravanan P, Assistant Professor, Department of Biotechnology and Bioinformatics, JSS AHER, Mysuru

• Dr. Dhivya Shanmugarajan, Scientific Technical Manager, Mirai Dynamics, Chennai

Their sessions will provide real-world perspectives on how computational intelligence is applied in pharmaceutical R&D.

Who Should Attend

This workshop is intended for:

• Faculty members in pharmaceutical and life sciences

• Research scholars and doctoral students

• Industry professionals involved in drug discovery and development

• Postgraduate students specializing in medicinal chemistry, pharmaceutical sciences, or bioinformatics

A strong interest in drug design and computational tools is recommended.

Venue and Participation Details

The workshop will be conducted offline at the Golden Jubilee and Digital Theatre, JSS College of Pharmacy, Mysuru. Participation is limited to 60 seats to ensure effective interaction and learning.

Registered participants will receive a delegate kit, lunch and refreshments, and a certificate upon successful completion of assessment.

Advancing Skills for the Future of Drug Discovery

As pharmaceutical research increasingly relies on interdisciplinary approaches, proficiency in computational drug discovery and intelligent design frameworks has become essential. This workshop offers participants a structured opportunity to develop relevant skills aligned with current industry and research trends.

By combining medicinal chemistry expertise with computational intelligence, the program aims to prepare researchers and professionals for the evolving demands of modern drug development.