GYDE, an open-source, web-based platform designed to facilitate collaborative drug discovery by integrating complex computational tools into an accessible interface. Developed by researchers at Genentech, the platform allows bench scientists to easily use AI models for protein and antibody design without needing extensive coding knowledge. By streamlining the sequence-structure-function relationship, the software enables users to visualize molecular data, predict structures, and analyze experimental results within a single environment. Case studies demonstrate its utility in antibody engineering, protein stability optimization, and the design of novel binders for therapeutic targets. Ultimately, GYDE aims to democratize access to advanced machine learning resources, fostering faster innovation and interdisciplinary teamwork in protein science.

References:

• Down T, Warowny M, Walker A, et al. GYDE: A collaborative drug discovery platform for AI-powered protein design and engineering[J]. bioRxiv, 2026: 2026.03. 24.714039.