Kissinger333/Designing-Rational-PROTAC-Linkers-through-Deep-Learning
View on GitHub ↗Related repositories →This project proposes a novel augmentation method for protein contact maps, and designs a convolutional neural network with a sequence attention mechanism to predict effective PROTAC linkers based on protein targets.
active 2024-04-25 → 2025-02-07 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 289 days from 2024-04-25 to 2025-02-07. Pushes: 2 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 2 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
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Kissinger333 | 4 | 2 | 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 — 2 stars here means stars gained during the window, not the repo's star count.