multiparameter optimization
Multiparameter optimization is the art of improving many things at once when they refuse to all improve together. Imagine tuning a guitar: tighten one string toward the right note and you change the tension on the neck, nudging the others slightly out of tune. A drug molecule is like that, except there are a dozen strings and they all interact.
A good drug must be potent, selective, soluble, permeable, metabolically stable, non-toxic, and synthesizable, among other things. Pushing hard on any single property almost always costs you another. Multiparameter optimization treats the molecule as a whole rather than chasing one number, asking which combination of small changes nudges the entire profile forward.
In practice teams often summarize the trade-offs in a single score or a visual radar chart, weighting each property by how important it is for the intended use. These scores are decision aids, not oracles: they depend on the weights chosen and on imperfect predictions, so chemists use judgment alongside the numbers rather than blindly following them.
MPO scores are only as good as their underlying data and weighting choices; two teams can score the same molecule differently.