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wells-wood-research avatar

wells-wood-research/PDBench

0
View on GitHub↗
33 stars·0 forks·Python·MIT·7 views

PDBench

PDBench is a dataset and software package for evaluating fixed-backbone sequence design algorithms. The structures included in PDBench have been chosen to account for the diversity and quality of observed protein structures, giving a more holistic view of performance.

Features

  • Protein Design Benchmarks - Evaluation framework for computational protein sequence design methods.

Star history

Star history chart for wells-wood-research/pdbenchStar history chart for wells-wood-research/pdbench

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with PDBench

These projects share indexed features with PDBench. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • aqlaboratory/openfoldaqlaboratory avatar

    aqlaboratory/openfold

    3,389View on GitHub↗

    Figure: Comparison of OpenFold and AlphaFold2 predictions to the experimental structure of PDB 7KDX, chain B.

    Python
    View on GitHub↗3,389
  • astrazeneca/diffabxlAstraZeneca avatar

    AstraZeneca/DiffAbXL

    101View on GitHub↗

    The implementation of DiffAbXL benchmarked in the paper: Benchmarking Generative Models for Antibody Design.

    Python
    View on GitHub↗101
  • blt2114/motifbenchblt2114 avatar

    blt2114/MotifBench

    81View on GitHub↗

    MotifBench is a standardized protein design benchmark for motif-scaffolding problems. The motif-scaffolding problem is a central task in computational protein design: Given the coordinates of atoms in a geometry chosen to confer a desired biochemical function (a motif), the goal is to identify…

    Jupyter Notebook
    View on GitHub↗81
  • a4bio/proteininvbenchA4Bio avatar

    A4Bio/ProteinInvBench

    202View on GitHub↗

    One can use the Colab to evaluate our latest models.

    Python
    View on GitHub↗202
Compare all 20 related projects→

Frequently asked questions

What does wells-wood-research/pdbench do?

PDBench is a dataset and software package for evaluating fixed-backbone sequence design algorithms. The structures included in PDBench have been chosen to account for the diversity and quality of observed protein structures, giving a more holistic view of performance.

What are the main features of wells-wood-research/pdbench?

The main features of wells-wood-research/pdbench are: Protein Design Benchmarks.

Which projects share features with wells-wood-research/pdbench?

Projects with overlapping indexed features include: aqlaboratory/openfold — Figure: Comparison of OpenFold and AlphaFold2 predictions to the experimental structure of PDB 7KDX, chain B. astrazeneca/diffabxl — The implementation of DiffAbXL benchmarked in the paper: Benchmarking Generative Models for Antibody Design. blt2114/motifbench — MotifBench is a standardized protein design benchmark for motif-scaffolding problems. The motif-scaffolding problem is… dumbgoos/afd-instruction. hewittlab/systematic-comparison-of-generative-ai-protein-models — Codebase for the paper "Systematic comparison of Generative AI-Protein Models" by Alexander J Barnett, Rajendra KC,… a4bio/proteininvbench — One can use the Colab to evaluate our latest models.