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AFPAP

imported

therapeutics/afpap

AlphaFold-based Protein Analysis Pipeline

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

record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
bioinformatics · molecular-docking · multiqc · nextflow · pdb · pipeline · protein · python
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.

  • allmetal3dbioinformatics · molecular-docking · protein

    Metal and Water prediction

  • ProteinViewbioinformatics · pdb · protein

    Terminal protein structure viewer — interactive 3D visualization of PDB/mmCIF structures with cartoon ribbons, braille rendering, and Sixel/Kitty graphics

  • MultiQCbioinformatics · multiqc

    Aggregate results from bioinformatics analyses across many samples into a single report.

  • ccdutilsbioinformatics · pdb

    A set of python tools to deal with PDB chemical components definitions for small molecules, taken from the wwPDB Chemical Component Dictionary, uses RDKit

  • mgp1000bioinformatics · nextflow · pipeline

    Nextflow bioinformatics pipeline for large-scale analysis of Multiple Myeloma genomes

  • nf-encyclopediabioinformatics · nextflow · pipeline

    A NextFlow pipeline for chromatogram library DIA proteomics workflows

sources
  1. api.github.com/repos/OtimusOne/AFPAP
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2022-09-19, 8 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/19.json→ .entries["afpap"]

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