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Generalized Michaelis-Menten rate law with time-varying molecular concentrations.
Lim, Roktaek; Martin, Thomas L P; Chae, Junghun; Kim, Woo Joong; Ghim, Cheol-Min; Kim, Pan-Jun.
Afiliação
  • Lim R; Department of Biology, Hong Kong Baptist University, Kowloon, Hong Kong.
  • Martin TLP; Department of Physics, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
  • Chae J; Department of Biology, Hong Kong Baptist University, Kowloon, Hong Kong.
  • Kim WJ; Department of Physics, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
  • Ghim CM; Department of Physics, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
  • Kim PJ; Department of Physics, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
PLoS Comput Biol ; 19(12): e1011711, 2023 Dec.
Article em En | MEDLINE | ID: mdl-38079453
ABSTRACT
The Michaelis-Menten (MM) rate law has been the dominant paradigm of modeling biochemical rate processes for over a century with applications in biochemistry, biophysics, cell biology, systems biology, and chemical engineering. The MM rate law and its remedied form stand on the assumption that the concentration of the complex of interacting molecules, at each moment, approaches an equilibrium (quasi-steady state) much faster than the molecular concentrations change. Yet, this assumption is not always justified. Here, we relax this quasi-steady state requirement and propose the generalized MM rate law for the interactions of molecules with active concentration changes over time. Our approach for time-varying molecular concentrations, termed the effective time-delay scheme (ETS), is based on rigorously estimated time-delay effects in molecular complex formation. With particularly marked improvements in protein-protein and protein-DNA interaction modeling, the ETS provides an analytical framework to interpret and predict rich transient or rhythmic dynamics (such as autogenously-regulated cellular adaptation and circadian protein turnover), which goes beyond the quasi-steady state assumption.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fenômenos Bioquímicos Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fenômenos Bioquímicos Idioma: En Ano de publicação: 2023 Tipo de documento: Article