Predictive ADMET

Predictive ADMET

Author: Jianling Wang

Publisher: John Wiley & Sons

Published: 2014-02-28

Total Pages: 604

ISBN-13: 1118783409

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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.


Drug-like Properties: Concepts, Structure Design and Methods

Drug-like Properties: Concepts, Structure Design and Methods

Author: Li Di

Publisher: Elsevier

Published: 2010-07-26

Total Pages: 549

ISBN-13: 0080557619

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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


Computational Toxicology

Computational Toxicology

Author: Sean Ekins

Publisher: John Wiley & Sons

Published: 2018-01-15

Total Pages: 411

ISBN-13: 1119282586

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Dieses Buch ist ein wichtiges Referenzwerk für Toxikologen in vielen Bereichen und bietet eine umfassende Analyse molekular Modellansätze und Strategien der Risikobewertung von pharmazeutischen und Umweltchemikalien. - Zeigt, was mit rechnergestützter Toxikologie aktuell erreicht werden kann, und wirft einen Blick auf zukünftige Entwicklungen. - Gibt Antworten zu Themen wie Datenquellen, Datenpflege, Behandlung, Modellierung und Interpretation kritischer Endpunkte im Hinblick auf Gefahrenbewertungen im 21. Jahrhundert. - Bündelt herausragende Konzepte und das Wissen führender Autoren in einem einzigartigen Referenzwerk. - Untersucht detailliert QSAR-Modelle, Eigenschaften physiochemischer Arzneistoffe, strukturbasiertes Drug Targeting, die Bewertung chemischer Mischungen und Umweltmodelle. - Behandelt zusätzlich die Sicherheitsbewertung von Verbraucherprodukten und den Bereich chemische Abwehr und bietet Kapitel zu Open-Source-Toxikologie und Big Data.


Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization

Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization

Author: Iyer, Sailesh Suryanarayan

Publisher: IGI Global

Published: 2021-12-24

Total Pages: 411

ISBN-13: 179988788X

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The sudden outbreak of the COVID-19 pandemic has curbed human lifestyle by imposing restrictions on regular daily movements that had been taken for granted. Due to the pandemic, the welfare segment has received more attention, and every possible effort is being made to prioritize the services at the top. This can be made possible while using the latest tools, technologies, and resources that impact the human culture and welfare of well-being. Novel methods and devices that make the welfare services more efficient, adaptive, transparent, and cost-effective need to be explored. The Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization offers extensive research on lifestyle management and services that contribute towards indication, detection, conduction, protection, and technological enhancement including machine learning, deep learning, artificial intelligence, big data analytics, and visualization. It also provides mechanisms that can improve lifestyle monitoring and help in increasing the immunity of the human body. Covering topics such as big data, robot therapy, and wearable technology, it is ideal for students, researchers, technologists, IT specialists, computer engineers, systems engineers, data scientists, doctors, hospital administrators, engineers, academicians, and technology providers.


Research Anthology on Bioinformatics, Genomics, and Computational Biology

Research Anthology on Bioinformatics, Genomics, and Computational Biology

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2024-03-19

Total Pages: 1509

ISBN-13:

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In the evolving environment of bioinformatics, genomics, and computational biology, academic scholars are facing a challenging challenge – keeping informed about the latest research trends and findings. With unprecedented advancements in sequencing technologies, computational algorithms, and machine learning, these fields have become indispensable tools for drug discovery, disease research, genome sequencing, and more. As scholars strive to decode the language of DNA, predict protein structures, and navigate the complexities of biological data analysis, the need for a comprehensive and up-to-date resource becomes paramount. The Research Anthology on Bioinformatics, Genomics, and Computational Biology is a collection of a carefully curated selection of chapters that serves as the solution to the pressing challenge of keeping pace with the dynamic advancements in these critical disciplines. This anthology is designed to address the informational gap by providing scholars with a consolidated and authoritative source that sheds light on critical issues, innovative theories, and transformative developments in the field. It acts as a single reference point, offering insights into conceptual, methodological, technical, and managerial issues while also providing a glimpse into emerging trends and future opportunities.


In vivo Models for Drug Discovery

In vivo Models for Drug Discovery

Author: José Miguel Vela

Publisher: John Wiley & Sons

Published: 2014-08-11

Total Pages: 600

ISBN-13: 3527333282

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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.


Virtual ADMET Assessment in Target Selection and Maturation

Virtual ADMET Assessment in Target Selection and Maturation

Author: Bernard Testa

Publisher: IOS Press

Published: 2006

Total Pages: 268

ISBN-13: 158603703X

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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:

Publisher: IOS Press

Published:

Total Pages: 4576

ISBN-13:

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Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection

Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection

Author: Arpana Parihar

Publisher: Academic Press

Published: 2022-07-13

Total Pages: 620

ISBN-13: 0323998003

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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


The Medicinal Chemist's Guide to Solving ADMET Challenges

The Medicinal Chemist's Guide to Solving ADMET Challenges

Author: Patrick Schnider

Publisher: Royal Society of Chemistry

Published: 2021-08-27

Total Pages: 541

ISBN-13: 1788012275

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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.