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opus_rota5

imported

therapeutics/opus-rota5

OPUS-Rota5: A Highly Accurate Protein Side-chain Modeling Method with 3D-Unet and RotaFormer

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

opus_rota5 project image
GitHub preview card for thuxugang/opus_rota5. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
molecular-docking · protein-side-chain-modeling · protein-structure-prediction
Regulatory
unknown
built by · 1

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.

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  • novomcpmolecular-docking · protein-structure-prediction

    The open computational chemistry engine for drug discovery and materials science; MCP + REST + Workbench + Next.js dashboard, wrapping RDKit, GROMACS, AutoDock, OpenFold, Chai, Boltz, Gnina.

  • boltz2-notebookprotein-structure-prediction

    Boltz2 Notebook – A streamlined Colab-based pipeline for protein structure prediction and binding affinity analysis using the Boltz2 deep learning model.

  • tbblab_repositoryprotein-structure-prediction

    List of useful resources for the Bioinformatics and Computational Biology field

  • AFPAPmolecular-docking

    AlphaFold-based Protein Analysis Pipeline

  • allmetal3dmolecular-docking

    Metal and Water prediction

sources
  1. api.github.com/repos/thuxugang/opus_rota5
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-04-03, 8 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/40.json→ .entries["opus-rota5"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.