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OverviewThe purpose of Ligand Efficiency Indices for Drug Discovery: Towards an Atlas-Guided Paradigm is to introduce in a concise and self-contained form the concepts, ideas, applications and examples of efficiency-driven drug discovery to the biomedical community at large. The book emphasizes the use of 'new variables' and more objective numerical methods to drive drug discovery in an encompassing way. These 'new variables' are based on Ligand Efficiency Indices (LEIs) formulated in a way that permits mapping Chemico-Biological Space (CBS) in an Atlas-like representation. It provides a practical and timely discussion of the concepts, ideas, applications and examples of efficiency-driven drug discovery. This book emphasizes the use of a graphical representation and objective numerical methods to drive drug discovery more effectively. It presents the definition of LEIs and the corresponding efficiency planes within an atlas-like environment to provide a robust graphical and numerical framework for medicinal chemists and drug-discoverers. Full Product DetailsAuthor: Celerino Abad-Zapatero (PhD, Adjunct Professor to the Graduate Faculty, Center for Pharmaceutical Biotechnology, University of Illinois at Chicago, Chicago, IL)Publisher: Elsevier Science Publishing Co Inc Imprint: Academic Press Inc Dimensions: Width: 15.20cm , Height: 1.30cm , Length: 22.90cm Weight: 0.390kg ISBN: 9780124046351ISBN 10: 0124046355 Pages: 178 Publication Date: 28 January 2013 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction PART 1: The Elements: Data, Variables, Concept and the Server PART 2: Conceptual Applications of the AtlasCBS: A New Paradigm PART 3: Exploring CBS: Practical Examples Using the AtlasCBS Server References Epilogue Appendix I. Appendix II.ReviewsAbad-Zapatero presents a novel approach to drug discovery that is based on the notion that a change of variables is necessary. The algebraic framework he proposes combines the affinity between ligands and targets with the physico-chemical properties of the ligands to construct a set of novel variables that can map chemico-biological space (CBS) and optimize the drug-discovery process. --Reference and Research Book News, August 2013 Author InformationTab Content 6Author Website:Countries AvailableAll regions |
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