Proteina-Complexa

Headlines · 2

1. Oct 21
   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
2. Oct 21
   Databricks brings NVIDIA's RFD4-Proteina protein-design model into Genesis Workbench

   Databricks published guidance for deploying NVIDIA's RFD4-Proteina protein-design model through its Genesis Workbench blueprint on Databricks AI Runtime, which provides serverless NVIDIA GPU compute for supported workloads. The company says the planned integration connects model execution with research data, experiment tracking and governance, and that pipelines can be assembled with Genie Code, NVIDIA BioNeMo Agent Toolkit skills and coding-agent assistance. Databricks describes RFD4-Proteina as an NVIDIA BioNeMo open model co-developed with the University of Washington Institute for Protein Design that generates a protein's sequence and full atomic structure together and can be steered toward properties such as thermostability or binding affinity.

   Databricks Blog · 🔥 0

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