# FoldingAtHome/coronavirus

Folding@home COVID-19 efforts

Repository: https://github.com/FoldingAtHome/coronavirus
Canonical: https://ross.abutalabs.com/products/coronavirus
Homepage: https://foldingathome.org
Language: Python
License Family: other
Topics: sars-cov-2, foldingathome, folding-at-home, molecular-dynamics, covid-19
Last push: 2020-10-27T03:29:18+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2407, "days_push": 2136, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1079, forks 78 (observed 2026-08-28T04:03:30.018239+00:00)

## What it is
A repository of input files and generated datasets from Folding@home's distributed molecular dynamics simulations targeting the SARS-CoV-2 virus for COVID-19 therapeutics research. It accompanies the Folding@home volunteer computing project, where donors' idle CPU and GPU cycles run protein simulations.

## Use cases
- download covid-19 molecular dynamics simulation datasets
- find sars-cov-2 protein simulation input files for research
- contribute idle computer time to covid-19 drug discovery
- analyze folding at home simulation results for drug targets
- reproduce coronavirus protein dynamics studies
- find open datasets for computational virology research

## When to choose
- you need openly licensed SARS-CoV-2 molecular dynamics datasets or simulation inputs
- you are a computational biology researcher studying COVID-19 drug targets
- you want to donate compute cycles specifically to COVID-19 research via the Folding@home client

## When to avoid
- you need a runnable software tool or library rather than datasets and input files
- you want general Folding@home client support or installation help (use the Folding Forum)
- you need active project updates, as the repository's last release was in 2020

## Facets
- artifact type: dataset
- maturity: maintenance
- function: simulation, data-science, machine-learning
- domain: bioinformatics, healthcare, artificial-intelligence
- platform: cross-platform, python
- tags: molecular-dynamics, covid-19, sars-cov-2, distributed-computing, drug-discovery, foldingathome, open-datasets, gpu

## Member repositories
- FoldingAtHome/coronavirus (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:30.018239+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:53:01.439826+00:00, confidence not recorded.
  - readme: https://github.com/FoldingAtHome/coronavirus (fetched 2026-08-28T04:03:30.018239+00:00, sha f2c49886c922)
  - homepage: https://foldingathome.org (fetched 2026-08-29T12:54:18.753005+00:00, sha 6bb0a706b06b)
  - site_page: https://foldingathome.org/about (fetched 2026-08-29T12:54:18.765886+00:00, sha ca853129df54)
  - site_page: https://foldingathome.org/about/consortium (fetched 2026-08-29T12:54:18.767461+00:00, sha b729c2f67c07)
  - site_page: https://foldingathome.org/about/gregory-bowman (fetched 2026-08-29T12:54:18.769198+00:00, sha a3ca68415d37)
  - site_page: https://foldingathome.org/about/joseph-coffland (fetched 2026-08-29T12:54:18.770767+00:00, sha 90ff8a54f95d)
  - site_page: https://foldingathome.org/about/volunteers (fetched 2026-08-29T12:54:18.772182+00:00, sha 8c9088ae5969)
  - site_page: https://foldingathome.org/about/open-source (fetched 2026-08-29T12:54:18.773658+00:00, sha 186e50de6c3f)
  - site_page: https://foldingathome.org/faq (fetched 2026-08-29T12:54:18.762266+00:00, sha 43bb8c19f7e6)
  - site_page: https://foldingathome.org/donate/funding-faq (fetched 2026-08-29T12:54:18.764056+00:00, sha 6329bc40dae2)
- Data as of 2026-08-30T08:39:29.467469+00:00.