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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. 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 42 8

  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 200 23

  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 169 12

  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 99 13

  5. proteina proteina Public

    Proteina is a new large-scale flow-based protein backbone generator that utilizes hierarchical fold class labels for conditioning and relies on a tailored scalable transformer architecture.

    Python 212 28

  6. cuik-molmaker 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, particularl…

    C++ 16

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