An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling.

ABSTRACT: Many components of signaling pathways are functionally pleiotropic, and signaling responses are marked with substantial cell-to-cell heterogeneity. Therefore, biochemical descriptions of signaling require quantitative support to explain how complex stimuli (inputs) are encoded in distinct activities of pathways effectors (outputs). A unique perspective of information theory cannot be fully utilized due to lack of modeling tools that account for the complexity of biochemical signaling, specifically for multiple inputs and outputs. Here, we develop a modeling framework of information theory that allows for efficient analysis of models with multiple inputs and outputs; accounts for temporal dynamics of signaling; enables analysis of how signals flow through shared network components; and is n

SUBMITTER: Jetka T 

PROVIDER: S-EPMC6214929 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature