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JOSS: https://github.com/Degiacomi-Lab/molearn

machine-learning molecular-dynamics molecular-modeling protein-structure

Score: 16.53646645449806

Last synced: about 9 hours ago
JSON representation

Repository metadata:

protein conformational spaces meet machine learning


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 3 days ago

Total Commits: 362
Total Committers: 10
Avg Commits per committer: 36.2
Development Distribution Score (DDS): 0.644

Commits in past year: 32
Committers in past year: 3
Avg Commits per committer in past year: 10.667
Development Distribution Score (DDS) in past year: 0.313

Name Email Commits
Matteo Degiacomi d****m 129
SCM s****n@d****k 85
Samuel Musson w****1@n****k 66
Yanchen Zhu r****u@g****m 37
gwirn 7****n 27
Alexandros Angeli a****i@g****m 8
rzhu r****u@n****k 5
DEGIACOMI x****5@d****k 3
Asal Azar y****l@g****m 1
Samuel Musson w****1@g****k 1

Issue and Pull Request metadata

Last synced: 3 months ago

Total issues: 14
Total pull requests: 50
Average time to close issues: 28 days
Average time to close pull requests: 18 days
Total issue authors: 6
Total pull request authors: 6
Average comments per issue: 3.21
Average comments per pull request: 0.12
Merged pull request: 33
Bot issues: 0
Bot pull requests: 0

Past year issues: 3
Past year pull requests: 15
Past year average time to close issues: N/A
Past year average time to close pull requests: about 6 hours
Past year issue authors: 1
Past year pull request authors: 4
Past year average comments per issue: 3.0
Past year average comments per pull request: 0.0
Past year merged pull request: 7
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/Degiacomi-Lab/molearn

Top Issue Authors

  • RMeli (4)
  • alexandrosangeli (3)
  • anandojha (2)
  • JoaoRodrigues (2)
  • ryankzhu (2)
  • ABChh26 (1)

Top Pull Request Authors

  • gwirn (18)
  • EngAsal (12)
  • alexandrosangeli (7)
  • SCMusson (5)
  • ryankzhu (5)
  • degiacom (3)

Top Issue Labels

  • help wanted (1)
  • question (1)
  • enhancement (1)
  • bug (1)

Top Pull Request Labels


Package metadata

conda-forge.org: molearn

This software trains a generative neural network on an ensemble of molecular conformations (typically obtained by molecular dynamics). The trained model can be used to generate new, plausible conformations repesentative of poorly sampled transition states.

  • Homepage: https://github.com/Degiacomi-Lab/molearn
  • Licenses: GPL-3.0-only
  • Latest release: 1.1.3 (published over 3 years ago)
  • Last Synced: 2026-03-28T01:13:42.152Z (3 months ago)
  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 26,198 Total
  • Rankings:
    • Dependent repos count: 34.025%
    • Average: 46.673%
    • Stargazers count: 47.307%
    • Dependent packages count: 51.175%
    • Forks count: 54.185%

Dependencies

setup.py pypi
  • numpy *
docs/requirements.txt pypi
  • numpy *
  • pandas *
  • scipy *
.github/workflows/draft-pdf.yml actions
  • actions/checkout v3 composite
  • actions/upload-artifact v4 composite
  • openjournals/openjournals-draft-action master composite
.github/workflows/tests.yml actions
  • actions/checkout v4 composite
  • conda-incubator/setup-miniconda v3 composite
environment.yml conda
  • biobox
  • cctbx
  • ipywidgets
  • mdanalysis
  • mdtraj
  • modeller
  • nglview
  • numpy
  • openmm
  • openmmtorchplugin
  • pandas
  • pip
  • plotly
  • python 3.11
  • pytorch-cuda
  • scipy