
From Sequence to AI-Ready Data: Accelerating AI Drug Discovery with 4-Day Validation
Thursday, September 3 at 16:00 BST | 17:00 CEST | 11:00 EDT | 08:00 PDT
AI-driven drug discovery (AIDD) is transforming antibody discovery and biologics development, enabling researchers to generate larger candidate pools and explore increasingly complex therapeutic antibody formats. But as AI accelerates innovation, biological validation has emerged as a critical bottleneck in the Design-Build-Test-Learn (DBTL) workflow. The challenge is no longer identifying promising candidates, it is validating them quickly enough to keep pace.
Join SelectScience® and Dr. Siyuan Zhao to discover practical strategies for accelerating antibody research and biologics development using GenScript's TurboCHO™ 3.0 expression platform and AI-driven drug discovery technologies. Drawing on experience across both academia and the biopharmaceutical industry, Dr. Zhao will share insights into overcoming biological validation challenges, generating high-quality AI-ready datasets, and making faster, more confident data-driven decisions.
You will learn how high-throughput protein expression, workflow automation, multi-platform validation, and AI-ready data generation can streamline antibody screening, support complex biologic modalities, and accelerate the development of next-generation therapeutic antibodies.
Whether you are looking to increase screening efficiency, shorten development timelines, or maximize the value of AI in your workflow, this webinar will provide actionable insights to help you move from sequence to data faster.
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

Moderator

Who should attend?
- Professionals in biopharmaceuticals
- Biopharmaceutical contract research organizations (CROs)
- Antibody discovery professionals
- Antibody engineering professionals
- Protein expression specialists
- Biologic developers
- R&D managers
What will this webinar cover?
- The emerging challenges and opportunities in AI-driven antibody discovery (AIDD) and the evolving DBTL workflow.
- GenScript's integrated AIDD workflow, including high-throughput expression, multi-platform protein production, and comprehensive characterization services.
- How AI-ready experimental data can accelerate model iteration and enable faster, evidence-based decision-making in biologics discovery.
Join the webinar to get answers to these questions:
- How is AI-driven drug discovery reshaping antibody research and the DBTL workflow?
- What challenges arise when scaling AI-driven antibody discovery, and how can they be addressed?
- How does GenScript’s TurboCHO™ 3.0 and integrated AIDD workflow accelerate protein expression and validation?
- In what ways can multi-platform validation and automation improve screening efficiency for complex biologics?
- How can AI-ready experimental data speed model iteration and support faster, evidence-based decisions in biologics discovery?
