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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. CodonFM CodonFM Public

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

    Python 52 9

  2. KERMT KERMT Public

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

    Python 41 6

  3. 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 52 8

  4. 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 250 26

  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 217 17

  6. 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 141 18

Repositories

Showing 10 of 12 repositories
  • 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 217 17 7 2 Updated Dec 15, 2025
  • 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 141 18 1 0 Updated Dec 13, 2025
  • 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 41 Apache-2.0 6 1 0 Updated Nov 19, 2025
  • 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 12 0 1 0 Updated Nov 5, 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++ 25 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 52 Apache-2.0 9 0 0 Updated Nov 1, 2025
  • 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 52 Apache-2.0 8 1 0 Updated Oct 28, 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
  • .github Public
    NVIDIA-Digital-Bio/.github’s past year of commit activity
    0 0 0 0 Updated Sep 29, 2025
  • 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.

    NVIDIA-Digital-Bio/la-proteina’s past year of commit activity
    Python 250 26 5 0 Updated Sep 23, 2025

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