Computational Methods for Estimating the Kinetic Parameters of Biological Systems (Methods in Molecular Biology, 2385)

ISBN 10: 1071617664 / ISBN 13: 9781071617663

Editore: Humana, 2021

Riguardo questo articolo

In. Codice articolo ria9781071617663_new

Dati bibliografici

Titolo: Computational Methods for Estimating the ...

Casa editrice: Humana

Data di pubblicazione: 2021

Legatura: Rilegato

Condizione: New

Descrizione articolo

Riassunto:

This detailed book provides an overview of various classes of computational techniques, including machine learning techniques, commonly used for evaluating kinetic parameters of biological systems. Focusing on three distinct situations, the volume covers the prediction of the kinetics of enzymatic reactions, the prediction of the kinetics of protein-protein or protein-ligand interactions (binding rates, dissociation rates, binding affinities), and the prediction of relatively large set of kinetic rates of reactions usually found in quantitative models of large biological networks. Written for the highly successful <i>Methods in Molecular Biology</i> series, chapters include the kind of expert implementation advice that leads to successful results.&nbsp;<div><br></div><div>Authoritative and practical, <i>Computational Methods for Estimating the Kinetic Parameters of Biological Systems</i> will be of great interest for researchers working through the challenge of identifying the best type of algorithm and who would like to use or develop a computational method for the estimation of kinetic parameters.</div>

Dalla quarta di copertina:

This detailed book provides an overview of various classes of computational techniques, including machine learning techniques, commonly used for evaluating kinetic parameters of biological systems. Focusing on three distinct situations, the volume covers the prediction of the kinetics of enzymatic reactions, the prediction of the kinetics of protein-protein or protein-ligand interactions (binding rates, dissociation rates, binding affinities), and the prediction of relatively large set of kinetic rates of reactions usually found in quantitative models of large biological networks. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of expert implementation advice that leads to successful results. 

Authoritative and practical, Computational Methods for Estimating the Kinetic Parameters of Biological Systems will be of great interest for researchers working through the challenge of identifying the best type of algorithm and who would like to use or develop a computational method for the estimation of kinetic parameters.