AI Design Engine, Wired into the Wet Lab for First-in-Class & Best-in-Class Discovery

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Viva Answers | Episode 4

AI Design Engine, Wired into the Wet Lab for First-in-Class & Best-in-Class Discovery

What sets Viva Biotech’s AIDD approach apart? Structural biology expertise, physics-based modeling and data-driven AI, connected to wet-lab validation.

This time, we have Dr. Yue Qian, VP & Head of MARS Division, explains how this integrated approach supports novel targets with limited data and guides molecular optimization, including cyclic peptide discovery through Pep2MARS.

Key Topics

1.What's Viva Biotech's unique approach to tackle First-in-Class targets? How does de novo design enable hit finding and subsequent design cycles?

2.Cyclic peptide is an emerging modality. How do AI models predict its overall profile and guide experimental design?

3.Can you give a couple of end-to-end discovery examples, with ballparks of compounds synthesized, success rate, and project timeline?

Introduction

Yue Qian

VP & Head of MARS Division

Content you may be interested

AIDD/CADD

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Service of Interest (Multiple Choice)
PROTAC/Molecular Glue Services XDC Platform SPR Technology Cryo-EM technology platform ASMS Technology Protein Expression and Purification Hit Discovery Bioassay Medicinal Chemistry service Antibody Services Others

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