• Theme: Integrating Artificial Intelligence Approaches with Multi-scale Molecular Modeling Approaches into Small Molecule and Biologic Therapeutics Design.

• Key Topics:

• Translating discoveries from bench to clinical applications

• Protein-protein and drug-protein interaction analyses

• High-throughput screening methods

• Pharmacophore modeling

• Computational nanotechnology and molecular dynamics

• Big data, data mining, and virtual screening in drug discovery

• Ligand-based and structure-based approaches

The congress will feature interactive workshops, oral and poster presentations, offering participants an opportunity to learn about innovative methodologies and technologies in drug design.

Why Attend?

• Networking: Engage with leading experts, industry stakeholders, and academics in drug discovery.

• Learning: Stay updated on the latest trends and techniques in the integration of AI and molecular modeling.

• Professional Growth: Gain insights into advanced drug design approaches, including AI-driven strategies and computational methods.