Episode 3: Predicting What Chirality Does
Recognising two stereoisomers is one problem; predicting how they diverge is a much harder one Summary The reason to build chirality-aware models is not to classify stereocentres but to predict consequences: which enantiomer binds, which is cleared faster, which carries the toxicity. This is where the evidence base is thinnest. Chirality-aware architectures win on benchmark …









