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prodigy

imported

software/prodigy

Predict the binding affinity of protein-protein complexes from structural data

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

prodigy project image
GitHub preview card for haddocking/prodigy. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
maintained
Maturity
deployed
Organization
haddocking
Country
unknown
Homepage
wenmr.science.uu.nl/prodigy/
Repository
github.com/haddocking/prodigy
Documentation
unknown
Tags
binding-affinity · bioinformatics · python3 · utrecht-university
Regulatory
unknown
built by · 6

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.

  • pdb-toolsbioinformatics · utrecht-university

    A dependency-free cross-platform swiss army knife for PDB files.

  • haddock3bioinformatics · utrecht-university

    Official repo of the modular BioExcel version of HADDOCK

  • boltz2-notebookbinding-affinity · bioinformatics

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

  • hybridock-pepbinding-affinity · bioinformatics

    Hybrid peptide docking: RAPiDock diffusion sampling + physics-based rescoring (iGEM 2026)

  • ComDetutrecht-university

    ImageJ plugin detecting and colocalizing particles of given size (vesicles, dots, etc on biological microscopy images)

  • Correlescenceutrecht-university

    spatial and temporal cross correlations in 1D and 2D for fluorescent microscopy (ImageJ plugin)

sources
  1. api.github.com/repos/haddocking/prodigy
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-10-03, 193 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/59.json→ .entries["prodigy"]

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