# molence/Mol-1 > Mol-1 is an open model for predicting structures of biomolecular complexes (proteins, DNA, RNA, ligands, ions) from sequences. The `mol` CLI runs inference, MSA and template search, and structure conversion. - Magnitude: 5.2 out of 10 — Early signal - Stars: 126 total · +14 stars measured 2026-10-28, 08:30–10:40 UTC, ≈ 51 by evening - Star trust: star growth looks organic - Category: Science & research · Language: Python · License: Apache-2.0 · Created: 2026-10-26 · Last push: 2026-10-28 - GitHub: https://github.com/molence/Mol-1 · Page: https://gitnova.dev/en/r/molence/Mol-1 ## Useful for - Predict a protein complex structure with ligands from a JSON file - Convert a PDB/CIF structure into Mol-1 input format - Search MSAs and templates for a custom sequence before prediction ## Why it’s here - Star-counter measurements on 2026-10-28 (UTC), 08:30–10:40: 112 → 126 stars (+14). This is the change over that interval. - Estimated end-of-day forecast: about +51 stars, using observed gains and the previous day. - The repository is 2 days old and already has 126 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #167. - About 33 forks a day — people are taking the code. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 7 - Issues and pull requests: 1 - Watchers: 0 - Average over the last week: 50 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 4 ## Stars per day, last 3 days (oldest → newest, today is partial) 2026-10-26 … 2026-10-28: 0, 99, 14 ## Spotted in now - Top new repositories this week: #167 ## Similar by description 1. **Augmented-Nature/AlphaFold-MCP-Server** — 0.0 · Quiet · Science & research · JavaScript · Not enough measurements today An MCP server that exposes the AlphaFold Protein Structure Database to LLM clients, letting them fetch, search, batch-process and analyze predicted protein structures via UniProt IDs. Full card: https://gitnova.dev/en/r/Augmented-Nature/AlphaFold-MCP-Server.md --- 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 2026-10-28 10:52 UTC, updated every 30 minutes.