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ProteinFlow

imported

data/proteinflow

Versatile computational pipeline for processing protein structure data for deep learning applications.

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

ProteinFlow project image
GitHub preview card for adaptyvbio/ProteinFlow. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Data & Standards
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
dormant
Maturity
deployed
Organization
adaptyvbio
Country
unknown
Documentation
unknown
Tags
bioinformatics · dataset · deep-learning · protein-data-bank · protein-design · protein-structure
Regulatory
unknown
built by · 5

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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  • Posebioinformatics · protein-design · protein-structure

    A bare-metal Python library for building and manipulating the molecular structures of proteins, nucleic acids, and small organic molecules

  • structure-factorybioinformatics · protein-design · protein-structure

    AI-agent toolkit for structural biology: design binders, map structures, screen candidates, rank results, and prepare cloud-scale runs.

  • pypdbprotein-data-bank · protein-structure

    A Python API for the RCSB Protein Data Bank (PDB)

  • VaxDesignprotein-data-bank · protein-structure

    A script that computationally designs a vaccine

  • biojavabioinformatics · protein-data-bank

    :book::microscope::coffee: BioJava is an open-source project dedicated to providing a Java library for processing biological data.

sources
  1. api.github.com/repos/adaptyvbio/ProteinFlow
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2024-02-14, 281 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/8.json→ .entries["proteinflow"]

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