KinomeMETA is a virtual kinase chemogenomics model for predicting kinome-wide polypharmacology effect of small molecules based on their chemical structures. KinomeMETA utilizes a modified meta-learning strategy integrated with a graph neural network (GNN), leveraging a large-scale dataset of kinase inhibitor data for 661 kinases.
active 2023-08-17 → 2024-10-07 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 418 days from 2023-08-17 to 2024-10-07. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 4 total, peak 1 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| zhangshiqi-hub | 1 | 0 | 0 | 0 |
| 1874Mercury | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 4 stars here means stars gained during the window, not the repo's star count.