Search results

• MIT

  Downloadable

  diffdock

  Predicts the 3D structure of how a molecule interacts with a protein.

  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
• NVIDIA

  Downloadable

  genmol

  Fragment-Based Molecular Generation by Discrete Diffusion.

  Model
• NVIDIA

  Downloadable

  molmim

  MolMIM performs controlled generation, finding molecules with the right properties.

  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
• 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
• Drug Discovery

  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
• 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
• evo2-nim

  Generate and analyze DNA sequences using NVIDIA's Evo 2 BioNeMo NIM microservice. Use for Evo2/Evo 2, DNA generation, genomic sequence generation, hosted generation, local Docker deployment, local forward passes, layer outputs, logits, sampled probabiliti

  Skill
• molmim-nim

  Use this skill for MolMIM, NVIDIA's BioNeMo NIM microservice for small-molecule latent-space generation and optimization. Invoke for MolMIM, molecular embeddings, hidden states, latent decoding, sampling around a seed SMILES, CMA-ES guided molecule genera

  Skill
• openfold2-nim

  Use this skill for OpenFold2, NVIDIA's BioNeMo NIM microservice for monomer protein structure prediction. Invoke whenever the user mentions OpenFold2, AlphaFold2-like monomer folding, protein sequence-to-structure prediction, A3M MSAs, mmCIF templates, ho

  Skill
• openfold3-nim

  Use this skill for OpenFold3, NVIDIA's BioNeMo NIM microservice for biomolecular structure prediction. Invoke whenever the user mentions OpenFold3 or needs protein, protein-ligand, protein-DNA/RNA, or multi-chain complex prediction with the hosted NVIDIA

  Skill