Identification of Cancer-associated metabolic vulnerabilities by modeling multi-objective optimality in metabolism.

ABSTRACT:

Background

Cancer cells undergo global reprogramming of cellular metabolism to satisfy demands of energy and biomass during proliferation and metastasis. Computational modeling of genome-scale metabolic models is an effective approach for designing new therapeutics targeting dysregulated cancer metabolism by identifying metabolic enzymes crucial for satisfying metabolic goals of cancer cells, but nearly all previous studies neglect the existence of metabolic demands other than biomass synthesis and trade-offs between these contradicting metabolic demands. It is thus necessary to develop computational models covering multiple metabolic objectives to study cancer metabolism and identify novel metabolic targets.

Methods

We developed a multi-objective optimization model for canc

SUBMITTER: Dai Z 

PROVIDER: S-EPMC6785927 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature