This is the accompanying GitHub for the paper "Can Deep Learning Blind Docking Methods be used to Predict Allosteric Compounds?"
active 2024-10-21 → 2025-07-03 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 256 days from 2024-10-21 to 2025-07-03. Pushes: 5 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 2 total, peak 1 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
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| echen1214 | 5 | 5 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Releaseechen12142024-10-21 22:03MDMR Release v1.0.0
- Releaseechen12142024-10-21 22:01MDMR Release v1.0.0
- Releaseechen12142024-10-21 21:47MDMR Release v1.0.0
- Releaseechen12142024-10-21 20:49MDMR Release v1.0.0
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.