Computational Methods for Estimating the Kinetic Parameters of Biological Systems

Quentin Vanhaelen

ISBN 10: 1071617664 / ISBN 13: 9781071617663

Editore: Springer US, Springer US Dez 2021, 2021

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Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 392 pp. Englisch.

Codice articolo 9781071617663

Dati bibliografici

• Titolo: Computational Methods for Estimating the Kinetic Parameters of Biological Systems
• Editore: Springer US, Springer US Dez 2021
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 1071617664
• ISBN 13: 9781071617663
• Rilegatura: Buch
• Condizione: Neu

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.