Global Summit on Ai in Drug Discovery & Molecular Modeling

Important dates

1. 1 Nov

   Abstract / full paper deadline

   Passed

2. 28–29 Nov

   Conference

   Cannes, France

All deadlines are as published by the organizer. Check the official website for the time zone.

About this conference

Global Summit on Ai in Drug Discovery & Molecular Modeling GSADDMM, organized by World Research Association for Education and Science, is a leading international conference that connects researchers, engineers, healthcare professionals, academicians, scientists, industry experts, and professionals from around the world. The conference provides a global platform to share groundbreaking research, discuss emerging developments, showcase innovative ideas, and build meaningful professional collaborations. By bringing together diverse academic and professional communities, Global Summit on Ai in Drug Discovery & Molecular Modeling GSADDMM aims to promote knowledge exchange, interdisciplinary collaboration, innovation, and the advancement of research on a global scale.

Topics and scope

• AI Driven Drug Discovery
• • Generative AI Drug Design
• • Machine Learning Drug Discovery
• • Deep Learning Drug Design
• • Computational Drug Discovery
• • Intelligent Molecular Modeling
• • AI Molecular Modeling
• • Molecular Structure Prediction
• • Protein Structure Prediction
• • AI Protein Modeling
• • Protein Ligand Interaction
• • Drug Target Prediction
• • AI Target Identification
• • Target Druggability Prediction
• • Virtual Screening Technologies
• • AI Powered Virtual Screening
• • Molecular Docking Applications
• • AI Enhanced Molecular Docking
• • Binding Affinity Prediction
• • Molecular Interaction Modeling
• • Molecular Dynamics Simulations
• • AI Molecular Dynamics
• • Free Energy Calculations
• • AI Free Energy Prediction
• • Quantum Machine Learning
• • Hybrid AI Modeling
• • Physics Informed AI
• • Generative Molecular Design
• • De Novo Drug Design
• • AI Lead Optimization
• • Molecular Property Prediction
• • ADMET Prediction Models
• • Toxicity Prediction Systems
• • Pharmacokinetic Property Prediction
• • Drug Repurposing Algorithms
• • AI Biomarker Discovery
• • Multimodal Drug Discovery
• • Graph Neural Networks
• • Transformer Based Molecular Models
• • Diffusion Models Drug Design
• • Large Language Models
• • AI Chemical Space Exploration
• • Structure Based Drug Design
• • Ligand Based Modeling
• • Pharmacophore Modeling Applications
• • QSAR Machine Learning
• • AI Natural Product Discovery
• • AI Antibiotic Discovery
• • AI Cancer Drug Discovery
• • Explainable AI Drug Design
• • Trustworthy AI Drug Discovery

Call for papers

The call for papers closed on 1 November 2026. For other conferences, see open calls for papers in this field.