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Statistical Mechanics of Allosteric Enzymes.
Einav, Tal; Mazutis, Linas; Phillips, Rob.
Afiliação
  • Einav T; Department of Physics, California Institute of Technology , Pasadena, California 91125, United States.
  • Mazutis L; Institute of Biotechnology, Vilnius University , Vilnius, 02241 Lithuania.
  • Phillips R; Department of Applied Physics and Division of Biology, California Institute of Technology , Pasadena, California 91125, United States.
J Phys Chem B ; 120(26): 6021-37, 2016 07 07.
Article em En | MEDLINE | ID: mdl-27070509
ABSTRACT
The concept of allostery in which macromolecules switch between two different conformations is a central theme in biological processes ranging from gene regulation to cell signaling to enzymology. Allosteric enzymes pervade metabolic processes, yet a simple and unified treatment of the effects of allostery in enzymes has been lacking. In this work, we take a step toward this goal by modeling allosteric enzymes and their interaction with two key molecular players-allosteric regulators and competitive inhibitors. We then apply this model to characterize existing data on enzyme activity, comment on how enzyme parameters (such as substrate binding affinity) can be experimentally tuned, and make novel predictions on how to control phenomena such as substrate inhibition.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inibidores Enzimáticos / Enzimas / Modelos Químicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Phys Chem B Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inibidores Enzimáticos / Enzimas / Modelos Químicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Phys Chem B Ano de publicação: 2016 Tipo de documento: Article