we design a multimodal-reinforced deep learning (Drug-Comb) approach to predict the co-assembly capabilities of two drug molecules. Drug-Comb consists of three models: multimodal-reinforced molecular co-assembly prediction model Mol-CA Net, co-assembly interpretation model and drug-pathway prediction model.
active 2023-09-04 → 2024-03-25 (UTC)
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Line chart, 204 days from 2023-09-04 to 2024-03-25. Pushes: 3 total, peak 1 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: 0 total, peak 0 in a day.
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Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| hxh1010 | 2 | 2 | 0 | 0 |
| BUAA-LiuLab | 1 | 1 | 0 | 0 |
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