Predictive Admet
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| Author | : Jianling Wang |
| Publisher | : John Wiley & Sons |
| Total Pages | : 604 |
| Release | : 2014-02-28 |
| Genre | : Medical |
| ISBN | : 1118783409 |
This book helps readers integrate in silico, in vitro, and in vivo ADMET (absorption, distribution, metabolism, elimination and toxicity) and PK (pharmacokinetics) data with routine testing applications so that pharmaceutical scientists can diagnose ADMET problems and present appropriate recommendations to move drug discovery programs forward. The book introduces the current clinical practice for drug discovery and development along with the impact on early risk assessment; consolidates the tools and models to intelligently integrate existing in silico, in vitro and in vivo ADMET data; and demonstrates successful cases and lessons learned from real drug discovery and development. In short, it is a book aimed to provide a practical road map for drug discovery and development scientists to generate efficacious and safe drugs for unmet medical needs.
| Author | : Li Di |
| Publisher | : Elsevier |
| Total Pages | : 549 |
| Release | : 2010-07-26 |
| Genre | : Science |
| ISBN | : 0080557619 |
Of the thousands of novel compounds that a drug discovery project team invents and that bind to the therapeutic target, typically only a fraction of these have sufficient ADME/Tox properties to become a drug product. Understanding ADME/Tox is critical for all drug researchers, owing to its increasing importance in advancing high quality candidates to clinical studies and the processes of drug discovery. If the properties are weak, the candidate will have a high risk of failure or be less desirable as a drug product. This book is a tool and resource for scientists engaged in, or preparing for, the selection and optimization process. The authors describe how properties affect in vivo pharmacological activity and impact in vitro assays. Individual drug-like properties are discussed from a practical point of view, such as solubility, permeability and metabolic stability, with regard to fundamental understanding, applications of property data in drug discovery and examples of structural modifications that have achieved improved property performance. The authors also review various methods for the screening (high throughput), diagnosis (medium throughput) and in-depth (low throughput) analysis of drug properties. - Serves as an essential working handbook aimed at scientists and students in medicinal chemistry - Provides practical, step-by-step guidance on property fundamentals, effects, structure-property relationships, and structure modification strategies - Discusses improvements in pharmacokinetics from a practical chemist's standpoint
| Author | : Bernard Testa |
| Publisher | : IOS Press |
| Total Pages | : 268 |
| Release | : 2006 |
| Genre | : Computers |
| ISBN | : 158603703X |
A significant contributing factor to the evolution in drug discovery was the methodological and technological revolution with the advent of combinatorial chemistry. This volume summarizes discussions of three aspects of modern drug discovery, that is, priority for targets, early ADMET assessment, and in silico screening.
| Author | : José Miguel Vela |
| Publisher | : John Wiley & Sons |
| Total Pages | : 600 |
| Release | : 2014-08-11 |
| Genre | : Medical |
| ISBN | : 3527333282 |
This one-stop reference is the first to present the complete picture -- covering all relevant organisms, from single cells to mammals, as well as all major disease areas, including neurological disorders, cancer and infectious diseases. Addressing the needs of the pharmaceutical industry, this unique handbook adopts a broad perspective on the use of animals in the early part of the drug development process, including regulatory rules and limitations, as well as numerous examples from real-life drug development projects. After a general introduction to the topic, the expert contributors from research-driven pharmaceutical companies discuss the basic considerations of using animal models, including ethical issues. The main part of the book systematically surveys the most important disease areas for current drug development, from cardiovascular to endocrine disorders, and from infectious to neurological diseases. For each area, the availability of animal models for target validation, hit finding and lead profiling is reviewed, backed by numerous examples of both successes and failures among the use of animal models. The whole is rounded off with a discussion of perspectives and challenges. Key knowledge for drug researchers in industry as well as academia.
| Author | : |
| Publisher | : IOS Press |
| Total Pages | : 4576 |
| Release | : |
| Genre | : |
| ISBN | : |
| Author | : Patrick Schnider |
| Publisher | : Royal Society of Chemistry |
| Total Pages | : 541 |
| Release | : 2021-08-27 |
| Genre | : Science |
| ISBN | : 1788012275 |
Medicinal chemistry is a complex science that lies at the very heart of drug discovery. Poor solubility, complex metabolism, tissue retention and slow elimination are just some of the properties of investigational compounds that present a challenge to the design and conduct of ADMET studies. Medicinal chemistry experience and knowledge relating to how a lead structure was modified to solve a specific problem is generally very challenging to retrieve. Presented in a visual and accessible style, this book provides rapid solutions to overcome the universal challenges to optimizing ADMET.
| Author | : Arpana Parihar |
| Publisher | : Academic Press |
| Total Pages | : 620 |
| Release | : 2022-07-13 |
| Genre | : Medical |
| ISBN | : 0323998003 |
Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection: Revolutionary Strategies to Combat Pandemics compiles information about various computational bioinformatic approaches that can help combat viral infection. The book includes working knowledge of various molecular docking and molecular dynamic simulation approaches that have been exploited for drug repurposing and drug designing purpose. In addition, it sheds light on reverse vaccinomics and immunoinformatic approaches for vaccine designing against SARS-CoV2 infection. This book is an essential resource for researchers, bioinformaticians, computational biologists, computational chemists and pharmaceutical companies who are working on the development of effective and specific therapeutic interventions and point-of-care diagnostic devices using various computational approaches. - Covers computational based approaches for designing and repurposing drugs - Discusses immunoinformatic and reverse vaccinomic approaches for effective vaccine design - Categorizes information about artificial intelligence-based drug screening and diagnostic tools
| Author | : Katya Tsaioun |
| Publisher | : John Wiley & Sons |
| Total Pages | : 454 |
| Release | : 2011-02-15 |
| Genre | : Medical |
| ISBN | : 0470922818 |
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 | : Kunal Roy |
| Publisher | : Elsevier |
| Total Pages | : 768 |
| Release | : 2023-05-23 |
| Genre | : Medical |
| ISBN | : 0443186391 |
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 | : Zunnan Huang |
| Publisher | : Frontiers Media SA |
| Total Pages | : 135 |
| Release | : 2021-03-15 |
| Genre | : Science |
| ISBN | : 2889666018 |
