Search results

• DeepMind

  Deprecation in 1dDownloadable

  alphafold2

  Predicts the 3D structure of a protein from its amino acid sequence.

  Model
• DeepMind

  Deprecation in 1dDownloadable

  alphafold2-multimer

  Predicts the 3D structure of a protein from its amino acid sequence.

  Model
• MIT

  Downloadable

  Boltz-2

  Predict complex structures using Boltz-2.

  Model
• Arc

  Downloadable

  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
• Arc

  Downloadable

  evo2-40b-forward

  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
• Arc

  Downloadable

  evo2-7b-forward

  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
• Colabfold

  Downloadable

  msa-search

  Generates a multiple sequence alignment from a query sequence and a protein sequence database search.

  Model
• Openfold

  Downloadable

  openfold2

  Predicts the 3D structure of a protein from its amino acid sequence, multiple sequence alignments, and templates.

  Model
• IPD

  Downloadable

  proteinmpnn

  ProteinMPNN is a deep learning model for predicting amino acid sequences for protein backbones.

  Model
• IPD

  Downloadable

  rfdiffusion

  A generative model of protein backbones for protein binder design.

  Model
• Healthcare & Life Sciences

  Developer Example

  Evo 2 Protein Design

  This workflow shows how generative AI can generate DNA sequences that can be translated into proteins for bioengineering.

  Blueprint
• Drug Discovery

  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