From sequence to AI-ready data: Closing the AI drug discovery loop in 4 days
Thursday, October 29 at 14:00 GMT | 15:00 CET | 10:00 EDT | 07:00 PDT
Artificial Intelligence (AI) has transformed drug discovery, enabling researchers to generate more candidate molecules than ever before. But as design scales, a new challenge has emerged: traditional validation workflows were never built to keep pace with AI.
To address this growing gap, GenScript developed the Validation Engine for AI-Driven Drug Discovery: an integrated platform designed to help discovery teams rapidly transform AI-generated designs into decision-ready biological data.
Join SelectScience® and Dr. Witold Jaworek to learn how GenScript's Validation Engine combines industrial-scale protein production, flexible expression strategies, high-throughput validation, and AI-ready data delivery to accelerate Design- Build-Test-Learn (DBTL) cycles and support faster, more confident discovery decisions.
Dr. Jaworek will also explore how next-generation validation infrastructure helps researchers move beyond the bottlenecks of traditional workflows and unlock more value from AI-driven discovery programs.
Whether you are developing antibodies, advancing biologics, building AI discovery platforms, or supporting translational research, you will gain insights into how faster validation enables better decisions and accelerates discovery.
Certificate of attendance
If you attend the live webinar, you will automatically receive a certificate of attendance, including a learning outcomes summary, for continuing education purposes.
If you view the on-demand webinar, you can request a certificate of attendance by emailing editor@selectscience.net.
Webinar details
Cost: Free to attend
Location: Online
Duration: 60 minutes
Registration is required to secure your place. If you register but can’t attend live, you will receive a link to the on‑demand recording once it becomes available.
Speakers
Who should attend?
- Antibody engineering
- Protein engineering
- Biologics R&D
- Computational biology
- Synthetic biology
- Drug discovery
What will this webinar cover?
- Why AI has shifted the bottleneck in drug discovery from design generation to experimental validation.
- How GenScript's Validation Engine was built to address the speed, scale, and complexity challenges introduced by AI-driven discovery.
- How industrial-scale protein production, flexible expression workflows, and high- throughput validation can accelerate DBTL cycles.
- Why structured, AI-ready experimental data is becoming increasingly important for candidate selection, model improvement, and discovery decisions.
