A major funding package is aimed at accelerating vaccine, antibody therapy, and small-molecule drug discovery by enabling large-scale AI and computational modeling, with a focus on translating AI-enabled discoveries into patient benefits through expansive computational biology work at Scripps.

Professor Stefano Forli’s project targets the dark proteome, simulating thousands of dynamic human proteins to reveal transient, druggable pockets and potential new drug targets.

Andrew Ward of Scripps Research notes the collaboration blends world-class science with robust computational infrastructure to shorten the path from discovery to treatment.

Jensen Huang of the Huang Foundation emphasizes making powerful computational tools openly available to researchers worldwide to accelerate medicines development and model immune system dynamics and proteome complexity.

Collaborations across Scripps labs, including Ward, Parker, and Cravatt, will weave computational models with experimental data to advance translational outcomes, with additional inputs from their labs to enhance AI-driven drug discovery.

Antibodies for All, led by Bryan Briney, aims to build a Virtual Germinal Center to simulate antibody mutation, binding, and selection for rapid computer-guided vaccine and therapeutic antibody design.

AI breakthroughs are advancing from predicting 3D structures from amino acid sequences to envisioning future models that predict function, identify druggable sites, and link molecular patterns to health conditions.

The overarching goal is to move AI from promising demonstrations to reliable, widely usable tools that shorten discovery timelines and improve patient outcomes.

Scripps researchers aim to develop scalable datasets to train next-generation AI models and enable rapid testing of vaccines and therapeutics before experimental validation.

Scripps Research secured a grant of more than 14 million hours of in-kind compute time from the Huang Foundation, in partnership with CoreWeave and NVIDIA GPUs, to advance AI-powered biomedicine.