Drug Discovery Design Methods Challenges (26 results)
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Taschenbuch. Condition: Neu. In Silico Drug Discovery and Design | Theory, Methods, Challenges, and Applications | Claudio N. Cavasotto | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2017 | CRC Press | EAN 9781138747586 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot…]de | Anbieter: preigu.
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Buch. Condition: Neu. Neuware - Drug discovery is the process of identifying novel therapeutic entities, with the combination of clinical, computational, translational and experimental models. This is done through the inventive process of drug design, which discovers novel medications on the basis of information about a biologic…al target. Drug design process involves designing of molecules, which are complementary in charge and shape of the molecular target with which they will bind and interact. This process of designing drugs utilizes bioinformatics approaches and techniques of computer modeling but is not totally dependent on them. In spite of various advances in the field of biotechnology and in the understanding of biological systems, the process of drug discovery is difficult, costly and lengthy. There is a high rate of attrition in the discovery of new therapeutics. This book contains some path-breaking studies on drug discovery and design. Also included herein is a detailed explanation of the methods, challenges and applications of drug discovery and design. A number of latest researches have been included to keep the readers up-to-date with the global concepts in this area of study.
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Published by American Medical Publishers, 2023
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In Silico Drug Discovery and Design: Theory, Methods, Challenges, and Applications provides a comprehensive, unified, and in-depth overview of the current methodological strategies in computer-aided drug discovery and design. Its main ai…ms are to introduce the theoretical framework and algorithms, discuss the range of validity, strengths and limitations of each methodology, and present applications to real world problems in the drug discovery arena. Special emphasis has been given to the emerging and most pressing methodological challenges in in silico drug discovery and design.The book assumes a basic knowledge of physical principles and molecular modeling. Particular attention has been paid to outline the underlying physico-chemical foundation of the methods described, thus providing the necessary background to avoid a 'black-box' approach. In each self-contained chapter, this is presented together with the latest developments and applications, and the challenges that lie ahead.Assembling a unique team of experts to weigh in on the most important issues influencing modern computational drug discovery and design, this book constitutes both a desktop reference to academic and industrial researchers in the field, and a textbook for students in the area of molecular modeling and drug discovery.Comprised of 18 chapters and divided into three parts, this book: Provides a comprehensive, unified, and in-depth overview of the current methodological strategies in computer-aided drug discovery and designOutlines the underlying physico-chemical foundation of the methods describedPresents several applications of computational methods to real world problems in the drug design fieldHelps to avoid a 'black-box' approach to in silico drug discoveryConstitutes an actual textbook for students in the area of molecular modeling and drug discoveryGives the reader the adequate background to face the current challenges of the fieldIn Silico Drug Discovery and Design: Theory, Methods, Challenges, and Applications describes the theoretical framework, methods, practical applications and case examples relevant to computer-aided drug lead discovery and design. This text will surely aid in understanding the underlying physical foundation of computational tools and their range of application, thus facilitating the interpretation of simulation results.
