11th Computational Drug Discovery & Development (CDD) & AI for Biologics Summit

The 11th Computational Drug Discovery & Development (CDD) & AI for Biologics Summit focuses on accelerating computational drug discovery and biologics development by leveraging AI-driven protein design, molecular modeling, and integrated wet-lab workflows to enable faster, more predictive, and scalable therapeutic innovation.

Key Topics

• De novo protein and miniprotein design using AI
• AI-driven biologics discovery and optimization workflows
• Antibody design, affinity prediction, and engineering
• Machine learning for protein structure and function prediction
• Closed-loop wet-lab and computational drug discovery integration
• In silico developability and formulation assessment
• Multiscale molecular modeling of biologics
• Data readiness and AI model benchmarking in drug discovery
• Agentic AI systems for biologics design pipelines
• Antigen selection and therapeutic design optimization

Who should attend

• Computational drug discovery researchers
• Biologics and antibody engineering scientists
• AI and machine learning specialists in pharma
• Pharmaceutical R&D leaders
• Bioinformatics and structural biology experts
• Lab automation and high-throughput screening professionals
• Translational medicine and CMC development teams