Advanced Drug Discovery & Development

This session will delve into the latest techniques in rational drug design, computational modeling, and high-throughput screening used to accelerate the discovery of novel therapeutics. Industry experts will share insights on how AI and machine learning are transforming target identification and compound optimization. Attendees will explore how lead compounds are refined through structure-activity relationships (SAR) and molecular docking studies. The session will highlight case studies where these methods have yielded successful drug candidates, reducing time and cost in early-stage development. Additionally, a focus will be placed on fragment-based and phenotypic drug discovery approaches, which have re-emerged as powerful tools in therapeutic innovation. Panelists will discuss how integrating multi-omics data can better predict pharmacological effects. Presentations will include real-wo.

rld examples from pharma and biotech companies, including challenges and lessons learned. From hit-to-lead to IND-enabling studies, this session aims to provide a comprehensive overview. Interactive workshops and discussions will encourage collaboration and sharing of resources, enhancing participants' understanding of translational science from lab bench to clinical application.

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