A Practical Guide To Rational Drug Design

Author : Sun Hongmao
Publisher : Woodhead Publishing
ISBN 13 : 0081001053
Total Pages : 292 pages
Book Rating : 4.59/5 ( download)

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Download or read book A Practical Guide to Rational Drug Design written by Sun Hongmao and published by Woodhead Publishing. This book was released on 2015-10-05 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is not going to be an exhaustive survey covering all aspects of rational drug design. Instead, it is going to provide critical know-how through real-world examples. Relevant case studies will be presented and analyzed to illustrate the following: how to optimize a lead compound whether one has high or low levels of structural information; how to derive hits from competitors’ active compounds or from natural ligands of the targets; how to springboard from competitors’ SAR knowledge in lead optimization; how to design a ligand to interfere with protein-protein interactions by correctly examining the PPI interface; how to circumvent IP blockage using data mining; how to construct and fully utilize a knowledge-based molecular descriptor system; how to build a reliable QSAR model by focusing on data quality and proper selection of molecular descriptors and statistical approaches. A Practical Guide to Rational Drug Design focuses on computational drug design, with only basic coverage of biology and chemistry issues, such as assay design, target validation and synthetic routes. Discusses various tactics applicable to daily drug design Readers can download the materials used in the book, including structures, scripts, raw data, protocols, and codes, making this book suitable resource for short courses or workshops Offers a unique viewpoint on drug discovery research due to the author’s cross-discipline education background Explores the author’s rich experiences in both pharmaceutical and academic settings

Author : Abby L. Parrill
Publisher :
ISBN 13 :
Total Pages : 408 pages
Book Rating : 4.82/5 ( download)

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Download or read book Rational Drug Design written by Abby L. Parrill and published by . This book was released on 1999 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an overview of current progress in drug design. It focuses on energetics of drug interactions with solvents and biomolecules, applications of traditional drug design methods, and related evolutionary algorithms.

Author : Yi Zheng
Publisher : Humana Press
ISBN 13 : 9781493959006
Total Pages : 230 pages
Book Rating : 4.0X/5 ( download)

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Download or read book Rational Drug Design written by Yi Zheng and published by Humana Press. This book was released on 2016-08-23 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past three decades there have been new developments in therapeutic drug design. In Rational Drug Design: Methods and Protocols, expert researchers in the field detail many of the methodologies used to study rational drug design. These include methods such as virtual screening of chemical hits, rational lead discovery by high throughput screening, combinatorial and fragment based lead generation, peptide based drug discovery, and animal models of lead validation. Written in the highly successful Methods in Molecular BiologyTM series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Rational Drug Design: Methods and Protocols seeks to aid scientists in the further study of rational drug design and future drug discovery.

Author : Daria Mochly-Rosen
Publisher : Springer Nature
ISBN 13 : 3031347242
Total Pages : 276 pages
Book Rating : 4.45/5 ( download)

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Download or read book A Practical Guide to Drug Development in Academia written by Daria Mochly-Rosen and published by Springer Nature. This book was released on 2023-11-06 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: "A lot of hard-won knowledge is laid out here in a brief but informative way. Every topic is well referenced, with citations from both the primary literature and relevant resources from the internet." Review of first edition from Nature Chemical Biology Written by the founders of the SPARK program at Stanford University, this book is a practical guide designed for professors, students and clinicians at academic research institutions who are interested in learning more about the drug development process and how to start transforming their basic research discoveries into novel drugs. Often many potentially transformative basic science discoveries are not pursued because they are deemed ‘too early’ to attract industry interest. This comprehensive book lays out simple, relatively cost-effective things that academic researchers can do to advance their findings to the point that they can be tested in the clinic or attract more industry interest. Each chapter broadly discusses an important topic in drug development, from discovery, optimization and preclinical studies through clinical trial design, regulatory issues and marketing assessments. After the practical overview provided here, the reader is encouraged to consult more detailed texts on specific topics of interest. The SPARK model has been adopted in over 60 institutions on six continents, and the program has been honored with multiple awards including the 2020 Xconomy Award for Ecosystem Development, the 2020 Cures Within Reach Award for Patient Impact Research, and the 2022 California Life Sciences Pantheon Award for Academia, Non-Profits, & Research. The new edition updates every chapter with the latest developments since the 2014 publication of the first edition.

Author : Katya Tsaioun
Publisher : John Wiley & Sons
ISBN 13 : 0470922818
Total Pages : 454 pages
Book Rating : 4.11/5 ( download)

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Download or read book ADMET for Medicinal Chemists written by Katya Tsaioun and published by John Wiley & Sons. This book was released on 2011-02-15 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book guides medicinal chemists in how to implement early ADMET testing in their workflow in order to improve both the speed and efficiency of their efforts. Although many pharmaceutical companies have dedicated groups directly interfacing with drug discovery, the scientific principles and strategies are practiced in a variety of different ways. This book answers the need to regularize the drug discovery interface; it defines and reviews the field of ADME for medicinal chemists. In addition, the scientific principles and the tools utilized by ADME scientists in a discovery setting, as applied to medicinal chemistry and structure modification to improve drug-like properties of drug candidates, are examined.

Author : D. C. Young
Publisher : John Wiley & Sons
ISBN 13 : 9780470451847
Total Pages : 344 pages
Book Rating : 4.4X/5 ( download)

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Download or read book Computational Drug Design written by D. C. Young and published by John Wiley & Sons. This book was released on 2009-01-28 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Helps you choose the right computational tools and techniques to meet your drug design goals Computational Drug Design covers all of the major computational drug design techniques in use today, focusing on the process that pharmaceutical chemists employ to design a new drug molecule. The discussions of which computational tools to use and when and how to use them are all based on typical pharmaceutical industry drug design processes. Following an introduction, the book is divided into three parts: Part One, The Drug Design Process, sets forth a variety of design processes suitable for a number of different drug development scenarios and drug targets. The author demonstrates how computational techniques are typically used during the design process, helping readers choose the best computational tools to meet their goals. Part Two, Computational Tools and Techniques, offers a series of chapters, each one dedicated to a single computational technique. Readers discover the strengths and weaknesses of each technique. Moreover, the book tabulates comparative accuracy studies, giving readers an unbiased comparison of all the available techniques. Part Three, Related Topics, addresses new, emerging, and complementary technologies, including bioinformatics, simulations at the cellular and organ level, synthesis route prediction, proteomics, and prodrug approaches. The book's accompanying CD-ROM, a special feature, offers graphics of the molecular structures and dynamic reactions discussed in the book as well as demos from computational drug design software companies. Computational Drug Design is ideal for both students and professionals in drug design, helping them choose and take full advantage of the best computational tools available. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

Author : Vivek Chavda
Publisher : John Wiley & Sons
ISBN 13 : 1119865700
Total Pages : 452 pages
Book Rating : 4.04/5 ( download)

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Download or read book Bioinformatics Tools for Pharmaceutical Drug Product Development written by Vivek Chavda and published by John Wiley & Sons. This book was released on 2023-02-09 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: BIOINFORMATICS TOOLS FOR Pharmaceutical DRUG PRODUCT DLEVELOPMENT A timely book that details bioinformatics tools, artificial intelligence, machine learning, computational methods, protein interactions, peptide-based drug design, and omics technologies, for drug development in the pharmaceutical and medical sciences industries. The book contains 17 chapters categorized into 3 sections. The first section presents the latest information on bioinformatics tools, artificial intelligence, machine learning, computational methods, protein interactions, peptide-based drug design, and omics technologies. The following 2 sections include bioinformatics tools for the pharmaceutical sector and the healthcare sector. Bioinformatics brings a new era in research to accelerate drug target and vaccine design development, improving validation approaches as well as facilitating and identifying side effects and predicting drug resistance. As such, this will aid in more successful drug candidates from discovery to clinical trials to the market, and most importantly make it a more cost-effective process overall. Readers will find in this book: Applications of bioinformatics tools for pharmaceutical drug product development like process development, pre-clinical development, clinical development, commercialization of the product, etc.; The ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach; The broad and deep background, as well as updates, on recent advances in both medicine and AI/ML that enable the application of these cutting-edge bioinformatics tools. Audience The book will be used by researchers and scientists in academia and industry including drug developers, computational biochemists, bioinformaticians, immunologists, pharmaceutical and medical sciences, as well as those in artificial intelligence and machine learning.

Author : Kunal Roy
Publisher : Elsevier
ISBN 13 : 0443186391
Total Pages : 768 pages
Book Rating : 4.94/5 ( download)

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Download or read book Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development written by Kunal Roy and published by Elsevier. This book was released on 2023-05-23 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development aims at showcasing different structure-based, ligand-based, and machine learning tools currently used in drug design. It also highlights special topics of computational drug design together with the available tools and databases. The integrated presentation of chemometrics, cheminformatics, and machine learning methods under is one of the strengths of the book.The first part of the content is devoted to establishing the foundations of the area. Here recent trends in computational modeling of drugs are presented. Other topics present in this part include QSAR in medicinal chemistry, structure-based methods, chemoinformatics and chemometric approaches, and machine learning methods in drug design. The second part focuses on methods and case studies including molecular descriptors, molecular similarity, structure-based based screening, homology modeling in protein structure predictions, molecular docking, stability of drug receptor interactions, deep learning and support vector machine in drug design. The third part of the book is dedicated to special topics, including dedicated chapters on topics ranging from de design of green pharmaceuticals to computational toxicology. The final part is dedicated to present the available tools and databases, including QSAR databases, free tools and databases in ligand and structure-based drug design, and machine learning resources for drug design. The final chapters discuss different web servers used for identification of various drug candidates. Presents chemometrics, cheminformatics and machine learning methods under a single reference Showcases the different structure-based, ligand-based and machine learning tools currently used in drug design Highlights special topics of computational drug design and available tools and databases

Author : Kunal Roy
Publisher : John Wiley & Sons
ISBN 13 : 1119681596
Total Pages : 596 pages
Book Rating : 4.95/5 ( download)

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Download or read book Chemometrics and Cheminformatics in Aquatic Toxicology written by Kunal Roy and published by John Wiley & Sons. This book was released on 2022-01-06 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: CHEMOMETRICS AND CHEMINFORMATICS IN AQUATIC TOXICOLOGY Explore chemometric and cheminformatic techniques and tools in aquatic toxicology Chemometrics and Cheminformatics in Aquatic Toxicology delivers an exploration of the existing and emerging problems of contamination of the aquatic environment through various metal and organic pollutants, including industrial chemicals, pharmaceuticals, cosmetics, biocides, nanomaterials, pesticides, surfactants, dyes, and more. The book discusses different chemometric and cheminformatic tools for non-experts and their application to the analysis and modeling of toxicity data of chemicals to various aquatic organisms. You’ll learn about a variety of aquatic toxicity databases and chemometric software tools and webservers as well as practical examples of model development, including illustrations. You’ll also find case studies and literature reports to round out your understanding of the subject. Finally, you’ll learn about tools and protocols including machine learning, data mining, and QSAR and ligand-based chemical design methods. Readers will also benefit from the inclusion of: A thorough introduction to chemometric and cheminformatic tools and techniques, including machine learning and data mining An exploration of aquatic toxicity databases, chemometric software tools, and webservers Practical examples and case studies to highlight and illustrate the concepts contained within the book A concise treatment of chemometric and cheminformatic tools and their application to the analysis and modeling of toxicity data Perfect for researchers and students in chemistry and the environmental and pharmaceutical sciences, Chemometrics and Cheminformatics in Aquatic Toxicology will also earn a place in the libraries of professionals in the chemical industry and regulators whose work involves chemometrics.

Author : Ripon Patgiri
Publisher : Springer Nature
ISBN 13 : 3030626253
Total Pages : 103 pages
Book Rating : 4.59/5 ( download)

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Download or read book Big Data, Machine Learning, and Applications written by Ripon Patgiri and published by Springer Nature. This book was released on 2020-11-27 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes refereed proceedings of the First International First International Conference on Big Data, Machine Learning, and Applications, BigDML 2019, held in Silchar, India, in December. The 6 full papers and 3 short papers were carefully reviewed and selected from 152 submissions. The papers present research on such topics as computing methodology; machine learning; artificial intelligence; information systems; security and privacy.