A linear programming computational framework integrates phosphor-proteomics and prior knowledge to predict drug efficacy.

ABSTRACT: BACKGROUND:In recent years, the integration of 'omics' technologies, high performance computation, and mathematical modeling of biological processes marks that the systems biology has started to fundamentally impact the way of approaching drug discovery. The LINCS public data warehouse provides detailed information about cell responses with various genetic and environmental stressors. It can be greatly helpful in developing new drugs and therapeutics, as well as improving the situations of lacking effective drugs, drug resistance and relapse in cancer therapies, etc. RESULTS:In this study, we developed a Ternary status based Integer Linear Programming (TILP) method to infer cell-specific signaling pathway network and predict compounds' treatment efficacy. The novelty of our study is that p

SUBMITTER: Ji Z 

PROVIDER: S-EPMC5763468 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature