1. Current Approaches of Building Mechanistic Pharmacodynamic Drug-Target Binding Models
Jingyi Liang, Vi Ngoc-Nha Tran, Colin Hemez, and Pia Abel zur Wiesch
2. An Extended Model Including Target Turnover, Ligand-Target Complex Kinetics, and Binding Properties to Describe Drug-Receptor Interactions
Lambertus A. Peletier
3. Beyond the Michaelis-Menten: Bayesian Inference for Enzyme Kinetic Analysis
Hyukpyo Hong, Boseung Choi, and Jae Kyoung Kim
4. Multi-Objective Optimization Tuning Framework for Kinetic Parameter Selection and Estimation
Yadira Boada, Jesús Picó, and Alejandro Vignoni
5. Relationship between Dimensionality and Convergence of Optimization Algorithms: A Comparison between Data-Driven Normalization and Scaling Factor-Based Methods Using PEPSSBI
Andrea Degasperi, Lan K. Nguyen, Dirk Fey, and Boris N. Kholodenko
6. Dynamic Optimization Approach to Estimate Kinetic Parameters of Monod-Based Microalgae Growth Models
Siti S. Jamaian, Fathul H. Zulkifli, and Kim S. Ling
7. Automatic Assembly and Calibration of Models of Enzymatic Reactions Based on Ordinary Differential Equations
Jure Stojan, Milan Hodosček, and Dusanka Janezič
8. Data Processing to Probe the Cellular Hydrogen Peroxide Landscape
Fernando Antunes and Paula Brito
9. Computational Methods for Structure-Based Drug Design through Systems Biology
Aman Chandra Kaushik, Shakti Sahi, and Dong-Qing Wei
10. Model Setup and Procedures for Prediction of Enzyme Reaction Kinetics with QM-Only and QM: MM Approaches
Michal Glanowski, Sangita Kachhap, Tomasz Borowski, and Maciej Szaleniec
11. The Role of Ligand Rebinding and Facilitated Dissociation on the Characterization of Dissociation Rates by Surface Plasmon Resonance (SPR) and Benchmarking Performance Metrics
Aykut Erbaş and Fatih Inci
12. Computational Tools for Accurate Binding Free Energy Prediction
Maria M. Reif and Martin Zacharias
13. Computational Alanine Scanning Reveals Common Features of TCR/pMHC Recognition in HLA-DQ8-Associated Celiac Disease
Linqiong Qiu, Jianing Song, and John Z.H. Zhang
14. Umbrella Sampling-Based Method to Compute Ligand-Binding Affinity
Son Tung Ngo and Minh Quan Pham
15. Creating Maps of the Ligand Binding Landscape for Kinetics-Based Drug Discovery
Tom Dixon, Samuel D. Lotz, and Alex Dickson
16. Prediction of Protein-Protein Binding Affinities from Unbound Protein Structures
&nb
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Gratuit expédition depuis Allemagne vers France
Destinations, frais et délaisEUR 9,70 expédition depuis Allemagne vers France
Destinations, frais et délaisVendeur : Buchpark, Trebbin, Allemagne
Etat : Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. | Seiten: 392 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 40954799/2
Quantité disponible : 1 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 th. N° de réf. du vendeur 757478364
Quantité disponible : Plus de 20 disponibles
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Etat : New. In. N° de réf. du vendeur ria9781071617694_new
Quantité disponible : Plus de 20 disponibles
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 209. N° de réf. du vendeur C9781071617694
Quantité disponible : Plus de 20 disponibles
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - 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.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. 392 pp. Englisch. N° de réf. du vendeur 9781071617694
Quantité disponible : 2 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9781071617694
Quantité disponible : 1 disponible(s)
Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. 1st ed. 2022 edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26396104920
Quantité disponible : 4 disponible(s)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 390 pages. 10.00x7.01x0.94 inches. In Stock. N° de réf. du vendeur x-1071617699
Quantité disponible : 2 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand. N° de réf. du vendeur 401320711
Quantité disponible : 4 disponible(s)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18396104914
Quantité disponible : 4 disponible(s)