Predictive Approaches in Drug Discovery and Development - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Predictive Approaches in Drug Discovery and Development write by J. Andrew Williams. This book was released on 2012-04-10. Predictive Approaches in Drug Discovery and Development available in PDF, EPUB and Kindle. Practical Utility of Biomarkers in Drug Discovery and Development covers all aspects of biomarker research applied to drug discovery and development and contains state-of-the-art appraisals on the practical utility of genomic, biochemical, and protein biomarkers. Case histories and lessons from successful and unsuccessful applications of biomarkers are included along with key chapters on GLP validation, safety biomarkers and proteomics biomarkers. Regulatory agency perspectives and initiatives both in the US and internationally are also discussed.
Predictive ADMET
Predictive ADMET - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Predictive ADMET write by Jianling Wang. This book was released on 2014-02-28. Predictive ADMET available in PDF, EPUB and Kindle. 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.
Predictive ADMET
Predictive ADMET - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Predictive ADMET write by Jianling Wang. This book was released on 2014-04-11. Predictive ADMET available in PDF, EPUB and Kindle. 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 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Drug-like Properties: Concepts, Structure Design and Methods write by Li Di. This book was released on 2010-07-26. Drug-like Properties: Concepts, Structure Design and Methods available in PDF, EPUB and Kindle. 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
Artificial Intelligence in Drug Discovery
Artificial Intelligence in Drug Discovery - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence in Drug Discovery write by Nathan Brown. This book was released on 2020-11-04. Artificial Intelligence in Drug Discovery available in PDF, EPUB and Kindle. 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.
