Elasticities in Metabolic Control Analysis: algebraic derivation of simplified expressions | Zendy

John H. Woods | Zendy; Herbert M. Sauro | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Elasticities in Metabolic Control Analysis: algebraic derivation of simplified expressions

Author(s) -

John H. Woods,

Herbert M. Sauro

Publication year - 1997

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/13.2.123

Subject(s) - algebraic expression , algebraic number , expression (computer science) , elasticity (physics) , computer science , effector , algebraic equation , control (management) , mathematics , mathematical optimization , nonlinear system , mathematical analysis , chemistry , artificial intelligence , thermodynamics , biochemistry , physics , quantum mechanics , programming language

Metabolic Control Analysis is one of many disciplines that make use of scaled derivatives. In particular, 'elasticities' are used to quantify the effect of an effector or substrate concentration on an enzyme rate under locally specified conditions. Normally an algebraic expression for the elasticity of an enzyme is obtained by differentiating its rate law, multiplying by the effector concentration and dividing by the rate law itself: this results in considerable expression expansion, and when the results are subsequently simplified it is often at the expense of biological comprehensibility.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research