Ligandscout Software | QUICK |

It takes 3D structures of molecules bound to a protein (or just the ligands themselves) and automatically translates them into . These aren’t just pretty 3D models—they are rulebooks. A pharmacophore tells you: "To bind here, a molecule must have exactly one hydrogen bond donor in this exact region, a hydrophobic lump over there, and a negative charge 6 angstroms away."

Instead of a single static PDB, you can input 5–10 MD simulation snapshots. LigandScout merges the conserved features into a "fuzzy" pharmacophore, accounting for protein flexibility.

Recent versions integrate explicit water analysis. By identifying bridging water molecules that are entropically favorable or unfavorable, LigandScout can adjust pharmacophore feature weights. A water that is easily displaced becomes a hydrophobic feature; a conserved water becomes a hydrogen bond acceptor .

Export the top 50 compounds as a new SDF with pharmacophore fit values in the SD tag. Send these for biological testing. Typical hit rates from LigandScout-guided screening are 15–40%, compared to 0.1–2% for random screening.

In the world of drug discovery, molecules are constantly whispering secrets. A protein might mumble, "I have a tiny cave where something important fits." A drug candidate might hint, "I touch three specific atoms to make you feel better." The problem? Humans don’t speak molecular gibberish.