Increasing consensus of context-specific metabolic models by integrating data-inferred cell functions.

ABSTRACT: Genome-scale metabolic models provide a valuable context for analyzing data from diverse high-throughput experimental techniques. Models can quantify the activities of diverse pathways and cellular functions. Since some metabolic reactions are only catalyzed in specific environments, several algorithms exist that build context-specific models. However, these methods make differing assumptions that influence the content and associated predictive capacity of resulting models, such that model content varies more due to methods used than cell types. Here we overcome this problem with a novel framework for inferring the metabolic functions of a cell before model construction. For this, we curated a list of metabolic tasks and developed a framework to infer the activity of these functionalities

SUBMITTER: Richelle A 

PROVIDER: S-EPMC6483243 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature