Computational Methods for Estimating the Kinetic Parameters of Biological Systems / edited by Quentin Vanhaelen.

Format:

Book

Contributor:

Vanhaelen, Quentin, Editor.

SpringerLink (Online service)

Series:

Springer Protocols (Springer-12345)

Methods in molecular biology 1940-6029 ; 2385

Methods in Molecular Biology, 1940-6029 ; 2385

Language:

English

Subjects (All):

Bioinformatics.

Molecular dynamics.

Computational and Systems Biology.

Molecular Dynamics.

Local Subjects:

Computational and Systems Biology.

Bioinformatics.

Molecular Dynamics.

Physical Description:

1 online resource (XI, 379 pages) : 105 illustrations, 96 illustrations in color.

Edition:

1st ed. 2022.

Contained In:

Springer Nature eBook

Place of Publication:

New York, NY : Springer US : Imprint: Humana, 2022.

System Details:

text file PDF

Summary:

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.

Contents:

Current Approaches of Building Mechanistic Pharmacodynamic Drug-Target Binding Models

An Extended Model Including Target Turnover, Ligand-Target Complex Kinetics, and Binding Properties to Describe Drug-Receptor Interactions

Beyond the Michaelis-Menten: Bayesian Inference for Enzyme Kinetic Analysis

Multi-Objective Optimization Tuning Framework for Kinetic Parameter Selection and Estimation

Relationship between Dimensionality and Convergence of Optimization Algorithms: A Comparison between Data-Driven Normalization and Scaling Factor-Based Methods Using PEPSSBI

Dynamic Optimization Approach to Estimate Kinetic Parameters of Monod-Based Microalgae Growth Models

Automatic Assembly and Calibration of Models of Enzymatic Reactions Based on Ordinary Differential Equations

Data Processing to Probe the Cellular Hydrogen Peroxide Landscape

Computational Methods for Structure-Based Drug Design through Systems Biology

Model Setup and Procedures for Prediction of Enzyme Reaction Kinetics with QM-Only and QM:MM Approaches

The Role of Ligand Rebinding and Facilitated Dissociation on the Characterization of Dissociation Rates by Surface Plasmon Resonance (SPR) and Benchmarking Performance Metrics

Computational Tools for Accurate Binding Free Energy Prediction

Computational Alanine Scanning Reveals Common Features of TCR/pMHC Recognition in HLA-DQ8-Associated Celiac Disease

Umbrella Sampling-Based Method to Compute Ligand-Binding Affinity

Creating Maps of the Ligand Binding Landscape for Kinetics-Based Drug Discovery

Prediction of Protein-Protein Binding Affinities from Unbound Protein Structures

Parameter Optimization for Ion Channel Models: Integrating New Data with Known Channel Properties.

Other Format:

Printed edition:

ISBN:

978-1-0716-1767-0

9781071617670

Access Restriction:

Restricted for use by site license.