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12 results for

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  • BioNemo
  • biology
    • 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 Protein Binder Design Pipeline

    This blueprint shows how generative AI and accelerated NIM microservices can design protein binders smarter and faster.
    Blueprint
    NVIDIA BioNemo
    2w
    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
    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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