Development of a hybrid model for a partially known intracellular signaling pathway through correction term estimation and neural network modeling

• Published in: PLoS computational biology Vol. 16; no. 12; p. e1008472
• Main Authors: Lee, Dongheon, Jayaraman, Arul, Kwon, Joseph S.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 14.12.2020; Public Library of Science (PLoS)
• Subjects: Accuracy; Algorithms; Apoptosis; Biology and Life Sciences; Biomolecules; Case studies; Cellular signal transduction; Computer and Information Sciences; Correlation analysis; Differential equations; Error-correcting codes; Gene expression; Intracellular; Intracellular signalling; Knowledge; Least-Squares Analysis; Lipopolysaccharides - pharmacology; Mathematical models; Medicine and Health Sciences; Metabolism; Neural networks; Neural Networks, Computer; NF-kappa B - metabolism; Ordinary differential equations; Physical Sciences; Signal transduction; Signal Transduction - drug effects; Signaling; Terminology; United States

Developing an accurate first-principle model is an important step in employing systems biology approaches to analyze an intracellular signaling pathway. However, an accurate first-principle model is difficult to be developed since it requires in-depth mechanistic understandings of the signaling path...