Robustness and parameter geography in post-translational modification systems

• Published in: PLoS computational biology Vol. 16; no. 5; p. e1007573
• Main Authors: Nam, Kee-Myoung, Gyori, Benjamin M., Amethyst, Silviana V., Bates, Daniel J., Gunawardena, Jeremy
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 01.05.2020; Public Library of Science (PLoS)
• Subjects: Biological systems; Biology; Biology and Life Sciences; Bistability; Computer and Information Sciences; Dimensional analysis; Earth Sciences; Engineering and Technology; Geography; Mathematical models; Mathematics; Ordinary differential equations; Parameter modification; Parameter robustness; Partial differential equations; Physical Sciences; Polynomials; Post-translation; Post-translational modifications; Proteins; Research and Analysis Methods; Robustness (mathematics); Robustness (Statistics); Sampling; Signal transduction; Social Sciences; Software; Substrates; Translation; Visibility; United States; United States > US; Massachusetts

Biological systems are acknowledged to be robust to perturbations but a rigorous understanding of this has been elusive. In a mathematical model, perturbations often exert their effect through parameters, so sizes and shapes of parametric regions offer an integrated global estimate of robustness. He...