FMol
importedtherapeutics/fmol
A simplified drug discovery pipeline -- generating SMILE molecular with AlphaSMILES, predicting protein structure with AlphaFold, and checking the druggability with fpocket/Amber.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Therapeutics
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/garywei944/FMol
- Documentation
- unknown
- Tags
- alphafold · drug-discovery · fpocket · protein
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- protein-mcp-serveralphafold · drug-discovery · protein
Federated protein structure & annotation across experimental (PDB) and predicted (AlphaFold) models via MCP. STDIO or Streamable HTTP.
- alphafold3-macalphafold · drug-discovery
Run AlphaFold 3 protein structure prediction natively on Apple Silicon Macs (M1/M2/M3/M4). MLX inference, web UI, restraint-guided docking.
- oih-platformalphafold · drug-discovery
OIH: autonomous LLM-agent platform for computational binder design and ADC prioritization
- PCMolalphafold · drug-discovery
Multi-target de novo molecular generator conditioned on AlphaFold's latent protein embeddings.
- pepdesignalphafold · drug-discovery
A modular, extensible peptide design pipeline with target preparation, backbone generation, sequence design, scoring, and ranking. Full local CPU pipeline, and backend hooks for RFpeptides,…
- PHIStructalphafold · protein
Published in Bioinformatics. Phage-host interaction prediction tool that incorporates protein structure information in representing receptor-binding proteins (RBPs). It improves performance…
- api.github.com/repos/garywei944/FMolretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2021-08-13, 18 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/63.json→ .entries["fmol"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.