AI Article Synopsis

  • True steady states in living organisms are infrequent but vital for understanding chemical reaction networks (CRNs) and their applications in cellular processes.
  • The authors propose a method to obtain closed-form steady-state solutions for complex CRNs that involve binary reactions and mass-action rate laws by transforming the nonlinear problem into a linear one in a higher-dimensional space.
  • They demonstrate their approach through examples featuring RTK receptor-ligand systems (VEGF and EGF-ErbB1), providing explicit formulas and identifying parameters for simplified solutions.

Article Abstract

True steady states are a rare occurrence in living organisms, yet their knowledge is essential for quasi-steady-state approximations, multistability analysis, and other important tools in the investigation of chemical reaction networks (CRN) used to describe molecular processes on the cellular level. Here, we present an approach that can provide closed form steady-state solutions to complex systems, resulting from CRN with binary reactions and mass-action rate laws. We map the nonlinear algebraic problem of finding steady states onto a linear problem in a higher-dimensional space. We show that the linearized version of the steady-state equations obeys the linear conservation laws of the original CRN. We identify two classes of problems for which complete, minimally parameterized solutions may be obtained using only the machinery of linear systems and a judicious choice of the variables used as free parameters. We exemplify our method, providing explicit formulae, on CRN describing signal initiation of two important types of RTK receptor-ligand systems, VEGF and EGF-ErbB1.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4090023PMC
http://dx.doi.org/10.1109/TCBB.2013.41DOI Listing

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