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Computational Methods for Estimating the Kinetic Parameters of Biological Systems

  • Book
  • © 2022

Overview

  • Includes cutting-edge techniques
  • Provides step-by-step details for ease of use
  • Contains key implementation advice from the experts

Part of the book series: Methods in Molecular Biology (MIMB, volume 2385)

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Table of contents (17 protocols)

Keywords

About this book

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.

Editors and Affiliations

  • Insilico Medicine Hong Kong Ltd, Pak Shek Kok, Hong Kong

    Quentin Vanhaelen

Bibliographic Information

  • Book Title: Computational Methods for Estimating the Kinetic Parameters of Biological Systems

  • Editors: Quentin Vanhaelen

  • Series Title: Methods in Molecular Biology

  • DOI: https://doi.org/10.1007/978-1-0716-1767-0

  • Publisher: Humana New York, NY

  • eBook Packages: Springer Protocols

  • Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2022

  • Hardcover ISBN: 978-1-0716-1766-3Published: 10 December 2021

  • Softcover ISBN: 978-1-0716-1769-4Published: 10 December 2022

  • eBook ISBN: 978-1-0716-1767-0Published: 09 December 2021

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 1

  • Number of Pages: XI, 379

  • Number of Illustrations: 9 b/w illustrations, 96 illustrations in colour

  • Topics: Bioinformatics, Theoretical and Computational Chemistry

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