Computational Methods for Estimating the Kinetic Parameters of Biological Systems (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Methods in Molecular Biology, 2385
Release date:	December 2021
Editors:	Quentin Vanhaelen
Dimensions:	254 x 178mm (L x W)
Format:	Hardcover
Pages:	379
Edition:	1st ed. 2022
ISBN-13:	978-1-07-161766-3
Categories:	Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Science & Mathematics > Chemistry > Physical chemistry > Quantum & theoretical chemistry
LSN:	1-07-161766-4
Barcode:	9781071617663

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