Institute for Protein Design
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- NVIDIA tutorial shows RFD4-Proteina protein design with reward-guided search
NVIDIA's technical blog published a tutorial on designing protein binders with RFD4-Proteina, an NVIDIA BioNeMo open model co-developed with the Institute for Protein Design at the University of Washington's School of Medicine. The model co-designs protein sequences and all-atom structures and uses reward-guided inference-time search to focus compute on the most promising candidates; the walkthrough targets PD-L1 binder candidates for computational biologists, ML engineers and drug discovery researchers. NVIDIA says users can take the open model for training, inference, method development and direct control over sampling code, or a NIM microservice with an HTTP interface, and that RFD4-Proteina is faster and uses less memory than RFD3, while the accompanying manuscript reports state-of-the-art results across a range of molecular tasks.
NVIDIA Technical Blog · 🔥 0 - OpenAI Foundation commits billions to open health and life-science data
OpenAI Foundation has committed $25 billion to philanthropy, with initial priorities including health and disease research and AI resilience. It has announced more than $125 million for public health data and more than $100 million for an AI-for-Alzheimer's program, while requiring funded datasets to be broadly available to researchers. The article notes that the foundation's close financial and governance ties to OpenAI Group PBC could create perceived conflicts of interest, though it cites no public evidence of improper influence.
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