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peptides_molecular_fingerprints_classification

imported

therapeutics/peptides-molecular-fingerprints-classification

Code for paper "Molecular Fingerprints Are Strong Models for Peptide Function Prediction" https://arxiv.org/abs/2501.17901

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

peptides_molecular_fingerprints_classification project image
GitHub preview card for MLCIL/peptides_molecular_fingerprints_classification. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Therapeutics
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
MLCIL
Country
unknown
Homepage
unknown
Repository
github.com/MLCIL/peptides_molecular_fingerprints_classification
Documentation
unknown
Tags
bioinformatics · cheminformatics · chemoinformatics · machine-learning · peptide-prediction · peptides · proteins · python
Regulatory
unknown
similar by tags

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

  • BILN-convertercheminformatics · peptides

    Script to manipulate BILN format and convert it to HELM (and viceversa)

  • PepToolsbioinformatics · peptides

    PepTools - An Immunoinformatics (Immunological Bioinformatics) R-package for working with peptide data

sources
  1. api.github.com/repos/MLCIL/peptides_molecular_fingerprints_classification
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-04-02, 4 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/49.json→ .entries["peptides-molecular-fingerprints-classification"]

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