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generative-protein-binder-design

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therapeutics/generative-protein-binder-design

NVIDIA BioNeMo blueprint for generative protein binder design

Machine-generated from the listed sources and not yet reviewed by a human.

generative-protein-binder-design project image
GitHub preview card for NVIDIA-BioNeMo-blueprints/generative-protein-binder-design. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
Apache-2.0, MIT(mixed)
Status
active
Maturity
deployed
Organization
NVIDIA-BioNeMo-blueprints
Country
unknown
Documentation
unknown
Tags
biology · drug-discovery · nim · nvidia
Regulatory
unknown
built by · 4

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • generative-virtual-screeningbiology · drug-discovery · nim · nvidia

    NVIDIA BioNeMo blueprint for generative AI-based virtual screening

  • SDK for GPU accelerated genome assembly and analysis

  • The AI sensor processing SDK for low latency streaming workflows

  • nim wrapper for htslib for parsing genomics data files

  • useful command-line tools written to showcase hts-nim

  • chemicalxbiology · drug-discovery

    A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

sources
  1. api.github.com/repos/NVIDIA-BioNeMo-blueprints/generative-protein-binder-design
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-28, 48 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as Apache-2.0, MIT, because GitHub's detector does not recognise open hardware licences.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/49.json→ .entries["generative-protein-binder-design"]

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