Article

Probabilistic graph-based model uncovers previously unseen druggable vulnerabilities in major solid cancers

2024-06-06

Abstract excerpt

Over half cancer patients lack safe, effective, targeted therapies despite abundant molecular profiling data. Statistically recurrent cancer drivers have provided fertile ground for drug discovery where they exist. But in rare, complex, and heterogeneous cancers, strong driver signals are elusive. Moreover, therapeutically exploitable molecular vulnerabilities extend beyond classical drivers. Here we describe a no...

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Literature Corpus work: 2fb823d7-ce41-531a-b7bf-cf6d6b44ec3c
DOI: 10.1101/2024.06.04.597409

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