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NVIDIA Digital Biology Research

Welcome to the NVIDIA Digital Biology Research Github Organization.

The repositories hosted here often accompany our publications and are released open source to the community to accelerate scientific innovation. Unless otherwise noted, the code is provided as-is and is not actively maintained.

Find out more about our research labs at research.nvidia.com/labs/dbr and research.nvidia.com and about our healthcare products at nvidia.com/clara/biopharma and nvidia.com/clara/genomics.

Explore our pinned repositories below to see some of our featured projects!

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  1. Proteina-Complexa Proteina-Complexa Public

    Generative model for protein binder design for protein and small molecule targets. Combines a pretrained flow-based generative model (built on La-Proteina) with inference-time optimization.

    Python 267 31

  2. boltz-cp boltz-cp Public

    Context Parallelism Code for Boltz-2

    Python 28 2

  3. nvQSP nvQSP Public

    GPU-accelerated Quantitative Systems Pharmacology (QSP) ODE solvers.

    9 1

  4. RNAPro RNAPro Public

    RNAPro is a state-of-the-art RNA 3D folding model developed in collaboration with the hosts and winners of the Stanford RNA 3D Folding Kaggle competition.

    Python 75 16

  5. nvMolKit nvMolKit Public

    A high-performance, GPU-accelerated library for key computational chemistry tasks, such as molecular similarity, conformer generation, and geometry relaxation.

    Cuda 241 21

  6. CodonFM CodonFM Public

    A family of codon-resolution language models trained on 130 million protein-coding sequences from over 20,000 species.

    Python 69 11

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