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BioinfoMachineLearning/MULTICOM3

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The software system of improving AlphaFold2- and AlphaFold-Multimer-based protein tertiary & quaternary structure prediction. It was developed by the Bioinformatics and Machine Learning Lab at the University of Missouri. It was blindly tested in CASP15 and ranked among the best server predictors in 2022. It improves AlphaFold's accuracy by 5-10%.

active 2023-08-16 → 2025-12-06 (UTC)

Complete coverage27,380 / 27,380 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-28 (UTC)
Events
105
Pushes
57
Pull requests
0
Issues
4
Stars
25
Forks
5

Activity over time

Daily event counts in the loaded window

Line chart, 844 days from 2023-08-16 to 2025-12-06. Pushes: 57 total, peak 12 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 4 total, peak 1 in a day. Comments: 4 total, peak 2 in a day. Stars: 25 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
JianLiu1994565302
jianlin-cheng4400
peiqi08073002
ntnn192000

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 25 stars here means stars gained during the window, not the repo's star count.