{"product_id":"computational-methods-for-estimating-the-quentin-vanhaelen-9781071617694","title":"Computational Methods for Estimating the Kinetic Parameters of Biological Systems","description":"\u003cp\u003e\u003cb\u003e1. \u003c\/b\u003e\u003cb\u003eCurrent Approaches of Building Mechanistic Pharmacodynamic Drug-Target Binding Models\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Jingyi Liang, Vi Ngoc-Nha Tran, Colin Hemez, and Pia Abel zur Wiesch\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. An Extended Model Including Target Turnover, Ligand-Target Complex Kinetics, and Binding Properties to Describe Drug-Receptor Interactions\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Lambertus A. Peletier\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e3. Beyond the Michaelis-Menten: Bayesian Inference for Enzyme Kinetic Analysis\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Hyukpyo Hong, Boseung Choi, and Jae Kyoung Kim\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e4. Multi-Objective Optimization Tuning Framework for Kinetic Parameter Selection and Estimation\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Yadira Boada, Jesús Picó, and Alejandro Vignoni\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. Relationship between Dimensionality and Convergence of Optimization Algorithms: A Comparison between Data-Driven Normalization and Scaling Factor-Based Methods Using PEPSSBI\u003c\/b\u003e\u003c\/p\u003e Andrea Degasperi, Lan K. Nguyen, Dirk Fey, and Boris N. Kholodenko\u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e6. Dynamic Optimization Approach to Estimate Kinetic Parameters of Monod-Based Microalgae Growth Models\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Siti S. Jamaian, Fathul H. Zulkifli, and Kim S. Ling\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e7. Automatic Assembly and Calibration of Models of Enzymatic Reactions Based on Ordinary Differential Equations\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Jure Stojan, Milan Hodosček, and Dusanka Janezič\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e8. Data Processing to Probe the Cellular Hydrogen Peroxide Landscape\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Fernando Antunes and Paula Brito\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e9. Computational Methods for Structure-Based Drug Design through Systems Biology\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Aman Chandra Kaushik, Shakti Sahi, and Dong-Qing Wei\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e10. Model Setup and Procedures for Prediction of Enzyme Reaction Kinetics with QM-Only and QM: MM Approaches\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Michal Glanowski, Sangita Kachhap, Tomasz Borowski, and Maciej Szaleniec\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e11. The Role of Ligand Rebinding and Facilitated Dissociation on the Characterization of Dissociation Rates by Surface Plasmon Resonance (SPR) and Benchmarking Performance Metrics\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Aykut Erbaş and Fatih Inci\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e12. Computational Tools for Accurate Binding Free Energy Prediction\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Maria M. Reif and Martin Zacharias\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e13. Computational Alanine Scanning Reveals Common Features of TCR\/pMHC Recognition in HLA-DQ8-Associated Celiac Disease\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Linqiong Qiu, Jianing Song, and John Z.H. Zhang\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e14. Umbrella Sampling-Based Method to Compute Ligand-Binding Affinity\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Son Tung Ngo and Minh Quan Pham\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e15. Creating Maps of the Ligand Binding Landscape for Kinetics-Based Drug Discovery\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Tom Dixon, Samuel D. Lotz, and Alex Dickson\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e16. Prediction of Protein-Protein Binding Affinities from Unbound Protein Structures\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e \u0026amp;nb\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Quentin Vanhaelen\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1071617699\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781071617694\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Humana\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 12\/10\/2022\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 379\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.49lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.81d\u003c\/p\u003e","brand":"Quentin Vanhaelen","offers":[{"title":"Paperback","offer_id":44122749141247,"sku":"9781071617694","price":169.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_f483bdf8-0a9f-4893-9196-0a01ee7b8e5e.jpg?v=1687426923","url":"https:\/\/www.whiterainbookhouse.com\/products\/computational-methods-for-estimating-the-quentin-vanhaelen-9781071617694","provider":"WR Book House","version":"1.0","type":"link"}