# JamesKInner/Covalent-MAS > A modular Python architecture for iterative covalent drug design: molecule generation, filtering, AutoDock Vina docking, multi-objective optimization, and evidence-driven trajectory learning. - Magnitude: 0.0 out of 10 — Quiet - Stars: 339 total · Not enough measurements today - Star trust: unusual star pattern (heuristic) - Category: Science & research · Language: Python · License: MIT · Created: 2026-09-19 · Last push: 2026-09-20 - GitHub: https://github.com/JamesKInner/Covalent-MAS · Page: https://gitnova.dev/en/r/JamesKInner/Covalent-MAS ## 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 ## Why it’s here - There are not enough fresh counter measurements for today's UTC day. The gain is unknown. - The repository is 16 days old and already has 339 stars. ## Star trust Unusual star pattern (heuristic). - Very few forks: 1 for 339 stars. Active projects usually have 3–15 forks per 100 stars. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 1 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 0 per day - Usual pace: 16 per day ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-10-06 … 2026-11-04: None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None ## Magnitude by day, last 14 days 09-22 2.0, 09-23 0.1, 09-24 0.0, 09-25 0.3, 09-26 0.0, 09-27 0.2, 09-28 0.3, 09-29 0.0, 09-30 0.0, 10-01 0.0, 10-02 0.0, 10-03 0.0, 10-04 0.0, 10-05 0.0 --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-05 23:47 UTC, updated every 30 minutes.