🧬 Swalife MolGen

Analog & de novo molecule design — 100% client-side, RDKit.js (WASM) + SMILES genetic search

Seed structure

Design mode

Property filters (optional)

* QED here is a simplified heuristic drug-likeness score (trapezoidal desirability over MW/logP/HBD/HBA/TPSA/rotatable bonds/aromatic rings), not the original Bickerton QED algorithm. Engine: genetic search on SMILES tokens, RDKit-validated — runs fully in your browser, nothing is sent to a server except the optional PubChem novelty check (sends only the SMILES string of the compound being checked, no other data).

Results

Generate molecules to see analogs here.

Network pharmacology (compound × disease target overlap)

MVP: real ChEMBL experimental targets × Open Targets disease-association targets, overlap + graph. No STRING PPI expansion or GO/KEGG enrichment stats yet (Phase 2 — needs a server proxy, CORS on those APIs is unconfirmed). See netpharm.html to run it.