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15 results for

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  • Download Available
    11
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    2
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    1
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    0
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    14
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  • BioNemo
  • nim
    • DeepMind

    alphafold2

    Predicts the 3D structure of a protein from its amino acid sequence.
    Model
    nim
    196
    11mo
    DeepMind

    alphafold2-multimer

    Predicts the 3D structure of a protein from its amino acid sequence.
    Model
    nim
    150
    11mo
    MIT

    Boltz-2

    Predict complex structures using Boltz-2.
    Model
    nim
    133K
    8mo
    NVIDIA
    Enterprise

    Build A Generative Virtual Screening Pipeline

    This blueprint shows how generative AI and accelerated NIM microservices can design optimized small molecules smarter and faster.
    Blueprint
    Chemistry
    2w
    MIT

    diffdock

    Predicts the 3D structure of how a molecule interacts with a protein.
    Model
    Chemistry
    9.64K
    7mo
    Meta

    esm2-650m

    Generates embeddings of proteins from their amino acid sequences.
    Model
    nim
    189K
    12mo
    Meta

    esmfold

    Predicts the 3D structure of a protein from its amino acid sequence.
    Model
    biology
    698K
    8mo
    NVIDIA

    Evo 2 Protein Design

    This workflow shows how generative AI can generate DNA sequences that can be translated into proteins for bioengineering.
    Blueprint
    NIM
    2w
    Arc

    evo2-40b

    Evo 2 is a biological foundation model that is able to integrate information over long genomic sequences while retaining sensitivity to single-nucleotide changes.
    Model
    DNA Generation
    200K
    9mo
    NVIDIA

    genmol

    Fragment-Based Molecular Generation by Discrete Diffusion.
    Model
    Chemistry
    2.48K
    7mo
    NVIDIA

    molmim

    MolMIM performs controlled generation, finding molecules with the right properties.
    Model
    Chemistry
    16.18K
    7mo
    Colabfold

    msa-search

    Generates a multiple sequence alignment from a query sequence and a protein sequence database search.
    Model
    nim
    892
    8mo
    Openfold

    openfold2

    Predicts the 3D structure of a protein from its amino acid sequence, multiple sequence alignments, and templates.
    Model
    nim
    961
    9mo
    IPD

    proteinmpnn

    ProteinMPNN is a deep learning model for predicting amino acid sequences for protein backbones.
    Model
    biology
    12.24K
    7mo
    IPD

    rfdiffusion

    A generative model of protein backbones for protein binder design.
    Model
    biology
    11.92K
    9mo
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