JamesKInner/Covalent-MAS
About the project
A modular Python architecture for iterative covalent drug design: molecule generation, filtering, AutoDock Vina docking, multi-objective optimization, and evidence-driven trajectory learning.
Useful for
- Generate covalent candidates and filter them by validity and warhead rules
- Run candidate docking with AutoDock Vina and collect results into JSON
- Optimize selected molecules against multiple objectives and store trajectories in JSONL
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 0 stars so far today, about 89 expected by the end of the day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 1 day old and already has 126 stars.
- Top new repositories this week: #112.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 147
- Stars in a day
- 89
- Forks
- 1
- Issues and pull requests
- 0
- Watchers
- 0
- Language
- Python
- License
- MIT
- Created
- September 19, 2026
- Last push
- September 19, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 20, 2026Top new repositories this week: #96
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