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  • Displaying 61 results
    Nvidia
    NVIDIA NIM for GenMol
    GenMol is a masked diffusion model trained on molecular SAFE representations for fragment-based molecule generation, which can serve as a generalist model for various drug discovery tasks.
    Container
    NVIDIA
    NVIDIA HPC SDK
    The NVIDIA HPC SDK is a comprehensive suite of compilers, libraries and tools essential to maximizing developer productivity and the performance and portability of HPC applications.
    Container
    MIT
    DiffDock
    Diffdock predicts the 3D structure of the interaction between a molecule and a protein.
    Container
    Google
    AlphaFold2
    A widely used model for predicting the 3D structures of proteins from their amino acid sequences.
    Container
    NVIDIA
    MolMIM
    MolMIM is a transformer-based model developed by NVIDIA for controlled small molecule generation.
    Container
    NVIDIA
    NVIDIA Parabricks
    NVIDIA Parabricks is an accelerated compute framework that supports applications across the genomics industry, primarily supporting analytical workflows for DNA, RNA, and somatic mutation detection applications.
    Container
    NVIDIA
    OpenFold2
    OpenFold2 is a protein structure prediction model from the OpenFold Consortium and the Alquraishi Laboratory. 
    Container
    ipd
    RFdiffusion
    Generates new protein structures (binder designs, motif scaffoldings, etc.)
    Container
    ColabFold
    msa-search
    The Multiple Sequence Alignment (MSA) Search NIM enables protein structure prediction models by providing fast, accurate sequence alignments of a query amino acid sequence against large databases of known proteins.
    Container
    arc
    Evo 2 40B
    Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences.
    Container
    NVIDIA
    BioNeMo Framework
    BioNeMo Framework for running training and inference on large scale bio-based models.
    Container
    Google
    AlphaFold2-Multimer
    A widely used model for predicting the 3D structures of proteins from their amino acid sequences. This version of the container supports multimers, i.e. proteins made up of 2 or more polypeptide chains.
    Container
    arc
    Evo 2
    Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences.
    Container
    —
    ESM-1nv
    A NeMo Megatron BERT based model trained on protein sequences.
    Model
    UIUC
    NAMD
    NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems.
    Container
    NVIDIA
    ALCHEMI Batched Geometry Relaxation NIM
    Atomistic Geometry Optimization/Relaxation NIM with machine learning interatomic potentials.
    Container
    NVIDIA
    ALCHEMI Batched Molecular Dynamics
    Atomistic Molecular Dynamics NIM with machine learning interatomic potentials.
    Container
    NVIDIA
    ESM-2nv 3B
    A 3 Billion parameter BERT based model that has model weights converted from Huggingface into NeMo Framework.
    Model
    NVIDIA
    ESM-2nv 650M
    A 650 million parameter BERT model that has model weights converted from Huggingface into NeMo Framework.
    Model
    NVIDIA
    ProtT5nv
    A T5 model developed using the BioNeMo framework starting from a model pre-trained on NLP data from NeMo Framework.
    Model
    NVIDIA
    EquiDock DB5
    EquiDock is an SE(3)-equivariant model that can predict protein-protein complex formation from two invidual proteins.
    Model
    NVIDIA
    EquiDock DIPS Model
    EquiDock is an SE(3)-equivariant model that can predict protein-protein complex formation from two invidual proteins.
    Model
    NVIDIA
    OpenFold
    OpenFold predicts protein structures from protein sequence inputs and optional multiple sequence alignments (MSAs) and template(s).
    Model
    NVIDIA
    DNABERT
    DNABERT generates a dense representation of a genome sequence by identifying contextually similar sequences in the human genome.
    Model

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