Boltz taps Excelra's GOSTAR data to teach BoltzMol-1 which compounds to reject

Gabriele Corso's Boltz will use Excelra's curated solubility, lipophilicity and permeability data to train BoltzMol-1 models that screen compounds before synthesis.

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Primary source: PR Newswire Business Technology

Why it matters

The deal tests whether curated experimental data can make AI hit discovery reliable enough for researchers to buy or synthesize only a short list of compounds.

An orange molecular model rests on a porous white membrane, with gray molecular models and laboratory glassware behind it; a flask bears the mark “Rw”.

Gabriele Corso's Boltz will use Excelra's curated solubility, lipophilicity and permeability data to train BoltzMol-1 models that screen compounds before synthesis.

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