Inferring tumor-specific cancer dependencies through integrating ex vivo drug response assays and drug-protein profiling.

ABSTRACT: The development of cancer therapies may be improved by the discovery of tumor-specific molecular dependencies. The requisite tools include genetic and chemical perturbations, each with its strengths and limitations. Chemical perturbations can be readily applied to primary cancer samples at large scale, but mechanistic understanding of hits and further pharmaceutical development is often complicated by the fact that a chemical compound has affinities to multiple proteins. To computationally infer specific molecular dependencies of individual cancers from their ex vivo drug sensitivity profiles, we developed a mathematical model that deconvolutes these data using measurements of protein-drug affinity profiles. Through integrating a drug-kinase profiling dataset and several drug response data

SUBMITTER: Batzilla A 

PROVIDER: S-EPMC9436053 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature