Equilibrium model selection: dTTP induced R1 dimerization.

ABSTRACT:

Background

Biochemical equilibria are usually modeled iteratively: given one or a few fitted models, if there is a lack of fit or over fitting, a new model with additional or fewer parameters is then fitted, and the process is repeated. The problem with this approach is that different analysts can propose and select different models and thus extract different binding parameter estimates from the same data. An alternative is to first generate a comprehensive standardized list of plausible models, and to then fit them exhaustively, or semi-exhaustively.

Results

A framework is presented in which equilibriums are modeled as pairs (g, h) where g = 0 maps total reactant concentrations (system inputs) into free reactant concentrations (system states) which h then maps into expected

SUBMITTER: Radivoyevitch T 

PROVIDER: S-EPMC2268910 | biostudies-literature | 2008 Feb

REPOSITORIES: biostudies-literature