arrest-molecules/CITATION.cff at main · Mythmaker28/arrest-molecules · GitHub

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cff-version: 1.2.0
message: "If you use this dataset or framework, please cite it as below."
type: dataset
title: "Molecular Arrest Framework Research Data Package"
version: "1.1.2"
date-released: "2025-11-14"
authors:
  - family-names: "Lepesteur"
    given-names: "Tommy"
    email: "tommy.lepesteur@hotmail.fr"
    orcid: "https://orcid.org/0009-0009-0577-9563"
repository-code: "https://github.com/Mythmaker28/arrest-molecules"
url: "https://github.com/Mythmaker28/arrest-molecules"
abstract: >
  A unifying theoretical framework for natural compounds with dampening
  effects on biological regulation. Includes curated data for 10 paradigmatic
  compounds (core dataset) plus 25 candidate molecules (extended dataset),
  quantitative metrics (API, EMC, NCR, PARI), Monte Carlo uncertainty
  quantification, and 44 testable predictions with confidence grading.
  All data derived from 100+ published sources (FAIR² compliant).
keywords:
  - pharmacology
  - molecular arrest
  - dampening effects
  - entropy modulation
  - network connectivity
  - hormesis
  - psychedelics
  - rapamycin
  - salvinorin A
  - computational pharmacology
  - FAIR data
  - reproducible research
license:
  - MIT
  - CC-BY-4.0
identifiers:
  - type: doi
    value: "10.5281/zenodo.17420685"
    description: "Zenodo archive DOI (concept DOI - always points to latest version)"
preferred-citation:
  type: dataset
  title: "Molecular Arrest Framework Research Data Package"
  authors:
    - family-names: "Lepesteur"
      given-names: "Tommy"
      email: "tommy.lepesteur@hotmail.fr"
      orcid: "https://orcid.org/0009-0009-0577-9563"
  version: "1.1.0"
  date-released: "2025-10-22"
  doi: "10.5281/zenodo.17420685"
  repository-code: "https://github.com/Mythmaker28/arrest-molecules"
  license:
    - MIT
    - CC-BY-4.0