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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. 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 15 5

  2. la-proteina la-proteina Public

    A partially latent flow matching model for the joint generation of a protein’s amino acid sequence and full atomistic structure, including both the backbone and side chain.

    Python 260 28

  3. nvMolKit nvMolKit Public

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

    Cuda 224 17

  4. genmol genmol Public

    GenMol is a generative AI model for creating novel molecules. It utilizes masked discrete diffusion and fragment-based generation to create valid molecules, which are encoded in the SAFE molecular …

    Python 148 19

  5. CodonFM CodonFM Public

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

    Python 56 9

  6. ReaSyn ReaSyn Public

    ReaSyn is a model for predicting a molecule's synthesis pathway, reaction steps from building blocks to final product(s), using an encoder-decoder Transformer and a Chain-of-Reaction (CoR) notation.

    Python 63 8

Repositories

Showing 10 of 14 repositories
  • genmol Public

    GenMol is a generative AI model for creating novel molecules. It utilizes masked discrete diffusion and fragment-based generation to create valid molecules, which are encoded in the SAFE molecular representation.

    NVIDIA-Digital-Bio/genmol’s past year of commit activity
    Python 148 19 0 0 Updated Jan 14, 2026
  • NVIDIA-Digital-Bio/subquadraticOps-docs’s past year of commit activity
    0 0 0 0 Updated Jan 13, 2026
  • nvMolKit Public

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

    NVIDIA-Digital-Bio/nvMolKit’s past year of commit activity
    Cuda 224 17 7 1 Updated Jan 12, 2026
  • ReaSyn Public

    ReaSyn is a model for predicting a molecule's synthesis pathway, reaction steps from building blocks to final product(s), using an encoder-decoder Transformer and a Chain-of-Reaction (CoR) notation.

    NVIDIA-Digital-Bio/ReaSyn’s past year of commit activity
    Python 63 Apache-2.0 8 1 0 Updated Jan 11, 2026
  • 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.

    NVIDIA-Digital-Bio/RNAPro’s past year of commit activity
    Python 15 Apache-2.0 5 0 1 Updated Jan 9, 2026
  • avgflow Public

    Official code repository for the paper titled "Efficient Molecular Conformer Generation with SO(3) Averaged Flow-Matching and Reflow" (ICML 2025)

    NVIDIA-Digital-Bio/avgflow’s past year of commit activity
    Python 13 0 1 0 Updated Jan 8, 2026
  • KERMT Public

    KERMT is a pretrained graph neural network model for molecular property prediction.

    NVIDIA-Digital-Bio/KERMT’s past year of commit activity
    Python 43 Apache-2.0 8 2 0 Updated Nov 19, 2025
  • cuik-molmaker Public

    cuik-molmaker is a specialized package designed for molecular featurization, converting chemical structures into formats that can be effectively used as inputs for deep learning models, particularly graph neural networks (GNNs).

    NVIDIA-Digital-Bio/cuik-molmaker’s past year of commit activity
    C++ 26 1 0 0 Updated Nov 5, 2025
  • CodonFM Public

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

    NVIDIA-Digital-Bio/CodonFM’s past year of commit activity
    Python 56 Apache-2.0 9 0 0 Updated Nov 1, 2025
  • dualbind Public

    DualBind is a 3D structure-based deep learning model with a dual-loss framework for accurate and fast protein-ligand binding affinity prediction.

    NVIDIA-Digital-Bio/dualbind’s past year of commit activity
    Python 12 2 0 0 Updated Oct 21, 2025

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