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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 54 9

  2. KERMT KERMT Public

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

    Python 42 7

  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 56 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 252 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 221 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 147 18

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