Molecular Evolutionary Models in Drug Discovery

Molecular Evolutionary Models in Drug Discovery

Author: Juan Bueno

Publisher: Academic Press

Published: 2020-01-22

Total Pages: 194

ISBN-13: 0128189290

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Molecular Evolutionary Models in Drug Discovery explores the application of evolutionary molecular models in drug discovery in which secondary metabolites play a fundamental role. Secondary metabolites are not produced in isolation, they are the result of the interaction of genes, metabolism and the environment. The book examines the role of secondary metabolites as leads in drug discovery and on the development of a rational bioprospecting model for new medicines based on the evolution of secondary metabolism. These evolutionary models are part of biological systems and are the most reliable expression of the functioning of living beings. - Examines the integration and application of evolutionary models in the pharmaceutical industry to create new drug development platforms - Investigates the biotechnological prospecting of secondary metabolites and their potential use in the discovery of new drugs - Evaluates the ecosystem of living beings and how its molecular adaptation might improve the success of therapies


De novo Molecular Design

De novo Molecular Design

Author: Gisbert Schneider

Publisher: Wiley-VCH

Published: 2013-12-23

Total Pages: 0

ISBN-13: 9783527334612

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Systematically examining current methods and strategies, this ready reference covers a wide range of molecular structures, from organic-chemical drugs to peptides, Proteins and nucleic acids, in line with emerging new drug classes derived from biomacromolecules. A leader in the field and one of the pioneers of this young discipline has assembled here the most prominent experts from across the world to provide first-hand knowledge. While most of their methods and examples come from the area of pharmaceutical discovery and development, the approaches are equally applicable for chemical probes and diagnostics, pesticides, and any other molecule designed to interact with a biological system. Numerous images and screenshots illustrate the many examples and method descriptions. With its broad and balanced coverage, this will be the firststop resource not only for medicinal chemists, biochemists and biotechnologists, but equally for bioinformaticians and molecular designers for many years to come. From the content: * Reaction-driven de novo design * Adaptive methods in molecular design * Design of ligands against multitarget profiles * Free energy methods in ligand design * Fragment-based de novo design * Automated design of focused and target family-oriented compound libraries * Molecular de novo design by nature-inspired computing * 3D QSAR approaches to de novo drug design * Bioisosteres in de novo design * De novo design of peptides, proteins and nucleic acid structures, including RNA aptamers and many more.


Guidebook on Molecular Modeling in Drug Design

Guidebook on Molecular Modeling in Drug Design

Author: N. Claude Cohen

Publisher: Gulf Professional Publishing

Published: 1996-04-26

Total Pages: 386

ISBN-13: 9780121782450

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The molecular modeling perspective in drug design. (N. Calude Cohen). Molecular graphics and modeling: tools of the trade. (Roderick E. Hubbard). Molecular modeling of small molecules. (Tamara Gund). Computer assisted new lead design. (Akiko Itai, Miho Yamada Mizutani, Yoshihiko Nishibata, and Nubuo Tomioka). Experimental techniques and data banks. (John P. Priestle and C. Gregory Paris). Computer-assisted drug discovery. (Peter Gund, Gerald Maggiora, and James P. Snyder). Modeling drug-receptor interactions. (Konrad F. Koehler, Shashidhar N. Rao, and James P. Snyder). Glossary of terminology. (J. P. Tollenaere).


Molecular Modeling in Drug Design

Molecular Modeling in Drug Design

Author: Rebecca Wade

Publisher: MDPI

Published: 2019-03-26

Total Pages: 220

ISBN-13: 3038976148

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Since the first attempts at structure-based drug design about four decades ago, molecular modelling techniques for drug design have developed enormously, along with the increasing computational power and structural and biological information of active compounds and potential target molecules. Nowadays, molecular modeling can be considered to be an integral component of the modern drug discovery and development toolbox. Nevertheless, there are still many methodological challenges to be overcome in the application of molecular modeling approaches to drug discovery. The eight original research and five review articles collected in this book provide a snapshot of the state-of-the-art of molecular modeling in drug design, illustrating recent advances and critically discussing important challenges. The topics covered include virtual screening and pharmacophore modelling, chemoinformatic applications of artificial intelligence and machine learning, molecular dynamics simulation and enhanced sampling to investigate contributions of molecular flexibility to drug–receptor interactions, the modeling of drug–receptor solvation, hydrogen bonding and polarization, and drug design against protein–protein interfaces and membrane protein receptors.


The Evolution of Drug Discovery

The Evolution of Drug Discovery

Author: Enrique Ravina

Publisher: John Wiley & Sons

Published: 2011-04-18

Total Pages: 531

ISBN-13: 3527326693

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Der Band zeichnet die oft spektakulären Erfolgs- oder Misserfolgsgeschichten neuartiger pharmazeutischer Wirkstoffe nach und nimmt den Leser dabei mit auf die Reise von den ersten Anfängen der Heilkunde bis zum Milliardengeschäft der modernen Pharmaindustrie. Sachkundig geschrieben, reich illustriert, anregend: Eine unterhaltsame Lektüre!


Evolutionary Diversity as a Source for Anticancer Molecules

Evolutionary Diversity as a Source for Anticancer Molecules

Author: Akhileshwar Kumar Srivastava

Publisher: Academic Press

Published: 2020-09-21

Total Pages: 392

ISBN-13: 0128216980

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Evolutionary Diversity as a Source for Anticancer Molecules discusses evolutionary diversity as source for anticancer agents derived from bacteria, algae, bryophytes, pteridophytes, and gymnosperms. The book goes over the isolation of anticancer agents and the technologyenabled screening process used to develop anticancer drugs. The book also includes discussion of the nutraceuticals and natural productsderived from invertebrates that can be used as part of cancer treatment. Evolutionary Diversity as a Source for Anticancer Molecules also deals with some of the current challenges in the prevention of cancer as well as the side effects of conventional drugs used for cancer patients.This book is a valuable resource for cancer researchers, oncologists, biotechnologists, pharmacologists, and any member of the biomedicalfield interested in understanding more about natural products with anticancer potential. - Discusses the application of natural products in place of conventional drugs to minimize the side effects in cancer treatment - Explains the relation between evolutionary mechanisms and climate change for production of secondary metabolites


Genetic Algorithms in Molecular Modeling

Genetic Algorithms in Molecular Modeling

Author: James Devillers

Publisher: Academic Press

Published: 1996-06-07

Total Pages: 345

ISBN-13: 0080532381

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Genetic Algorithms in Molecular Modeling is the first book available on the use of genetic algorithms in molecular design. This volume marks the beginning of an ew series of books, Principles in Qsar and Drug Design, which will be an indispensible reference for students and professionals involved in medicinal chemistry, pharmacology, (eco)toxicology, and agrochemistry. Each comprehensive chapter is written by a distinguished researcher in the field. Through its up to the minute content, extensive bibliography, and essential information on software availability, this book leads the reader from the theoretical aspects to the practical applications. It enables the uninitiated reader to apply genetic algorithms for modeling the biological activities and properties of chemicals, and provides the trained scientist with the most up to date information on the topic. - Extremely topical and timely - Sets the foundations for the development of computer-aided tools for solving numerous problems in QSAR and drug design - Written to be accessible without prior direct experience in genetic algorithms


Molecular Modelling and Drug Design

Molecular Modelling and Drug Design

Author: K Anand Solomon

Publisher: MJP Publisher

Published: 2019-06-05

Total Pages: 243

ISBN-13:

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Molecular modelling is the scientific art of simulating chemicalor biological systems, so that computational methods can beapplied to understand the process concerned. Models usingcomputers are generated using mathematical equations and areevolved based on experimental information that is taken intoconsideration during model building. This book is anintroduction to the field of molecular modelling and drug designin which biological molecules effective in treating diseases arediscovered using in silico methods.


Mouse Models for Drug Discovery: Methods and Protocols

Mouse Models for Drug Discovery: Methods and Protocols

Author: Gabriele Proetzel

Publisher: Methods in Molecular Biology

Published: 2018-05-20

Total Pages: 450

ISBN-13: 9781493981090

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With genetic engineering, systems explored in this book now exist allowing for the simple, efficient, and near universally precise genetic manipulation directly in any organism, including the mouse. Herein, these models are applied to a wide field of disease areas, including diabetes, cardiovascular disease, skin disorders, cancer, neurodegenerative and neuromuscular diseases, retinal disorders, as well as various behavioral models. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Practical and fully updated, Mouse Models for Drug Discovery: Methods and Protocols, Second Edition serves to equip the reader with an extensive overview of techniques to utilize the many possibilities of mice in the drug development process.


Artificial Intelligence in Drug Discovery

Artificial Intelligence in Drug Discovery

Author: Nathan Brown

Publisher: Royal Society of Chemistry

Published: 2020-11-04

Total Pages: 425

ISBN-13: 1839160543

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Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.