Takumi Ito

XACT models dose-dependent drug responses using transcriptomic data to predict patient survival and identify therapeutic vulnerabilities in cancer.

OmniBind predicts drug-target interactions across multiple endpoints using structural protein encoding, outperforming existing methods and recovering known drug targets.

The paper develops AEGIS, an AI tool, to discover novel guardian proteins in tardigrades, revealing a diverse molecular toolkit for extremotolerance.

MetDeeCINE predicts enzyme-metabolite relationships using multi-omics data and outperforms existing models in predicting concentration control coefficients in E. coli.