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Predictive ADMET

Predictive ADMET PDF Author: Jianling Wang
Publisher: John Wiley & Sons
ISBN: 1118783409
Category : Medical
Languages : en
Pages : 604

Book Description
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 PDF Author: Jianling Wang
Publisher: John Wiley & Sons
ISBN: 1118783409
Category : Medical
Languages : en
Pages : 604

Book Description
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.

ADMET for Medicinal Chemists

ADMET for Medicinal Chemists PDF Author: Katya Tsaioun
Publisher: John Wiley & Sons
ISBN: 0470922818
Category : Medical
Languages : en
Pages : 454

Book Description
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.

Virtual ADMET Assessment in Target Selection and Maturation

Virtual ADMET Assessment in Target Selection and Maturation PDF Author: B. Testa
Publisher: IOS Press
ISBN: 1607502194
Category : Medical
Languages : en
Pages : 268

Book Description
Today, biologists and medicinal chemists realize that there is a strong relationship between pharmacodynamic (what the drug does to the organism) and pharmacokinetic (what the organism does to the drug) effects. A significant contributing factor to the evolution in drug discovery was the methodological and technological revolution with the advent of combinatorial chemistry, high-throughput screening and profiling, and in silico prediction of target-based activity and ADMET (absorption, distribution, metabolism, excretion and toxicity) properties. High-throughput screening and in silico methods have accelerated the process towards drugability of new chemical structures. Another component of the revolution in drug discovery is the replacement of the disease (indication)-based approach by a target-based approach. A better understanding of pathophysiology of diseases and the underlying biological processes of diseases combined with explosive development of genomics and proteomics have been instrumental in the birth of this new paradigm. This volume summarizes discussions of these three aspects of modern drug discovery, i.e. priority for targets, early ADMET assessment, and in silico screening. We trust that readers from academia as well as from industry will benefit from these studies.

Translational ADMET for Drug Therapy

Translational ADMET for Drug Therapy PDF Author: Souzan B. Yanni
Publisher: John Wiley & Sons
ISBN: 1118838416
Category : Medical
Languages : en
Pages : 352

Book Description
Serving as a practical handbook about ADMET for drug therapy, this book presents effective technologies, methods, applications, data interpretation, and decision-making tactics for pharmaceutical and preclinical scientists. Chapters cover case studies and in vivo, in vitro, and computational tools for drug discovery and development, with new translational approaches to clinical drug investigations in various human populations. Illustrates ADME properties, from bedside to bench and bench to bedside, for the design of safe and effective medicine in human populations Provides examples that demonstrate the integration of in vitro, in vivo, and in silico data to address human PKPD and TKTD and help determine the proper therapeutic dosage Presents successful tools for evaluating drugs and covers current translational ADMET with regulatory guidelines Offers a hands-on manual for researchers and scientists to design and execute in vitro, in silico, preclinical, and clinical studies Includes discussion of IND / NDA filing and drug labeling to support drug registration and approval

In vivo Models for Drug Discovery

In vivo Models for Drug Discovery PDF Author: José Miguel Vela
Publisher: John Wiley & Sons
ISBN: 3527679367
Category : Medical
Languages : en
Pages : 600

Book Description
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.

Computational Toxicology

Computational Toxicology PDF Author: Sean Ekins
Publisher: John Wiley & Sons
ISBN: 111928256X
Category : Science
Languages : en
Pages : 450

Book Description
A key resource for toxicologists across a broad spectrum of fields, this book offers a comprehensive analysis of molecular modelling approaches and strategies applied to risk assessment for pharmaceutical and environmental chemicals. Provides a perspective of what is currently achievable with computational toxicology and a view to future developments Helps readers overcome questions of data sources, curation, treatment, and how to model / interpret critical endpoints that support 21st century hazard assessment Assembles cutting-edge concepts and leading authors into a unique and powerful single-source reference Includes in-depth looks at QSAR models, physicochemical drug properties, structure-based drug targeting, chemical mixture assessments, and environmental modeling Features coverage about consumer product safety assessment and chemical defense along with chapters on open source toxicology and big data

Patenting Nanomedicines

Patenting Nanomedicines PDF Author: Eliana B. Souto
Publisher: Springer Science & Business Media
ISBN: 3642292658
Category : Law
Languages : en
Pages : 471

Book Description
“Patenting Nanomedicines: Legal Aspects, Intellectual Property and Grant Opportunities” focusses on the fundamental aspects of Patenting Nanomedicines applied in different “Drug Delivery and Targeting Systems”. The promoters of new findings in this field of research are numerous and spread worldwide; therefore, managing intellectual property portfolios, and the acquisition and exploitation of new knowledge face several contingency factors. Today, the scientific community is discussing issues of economic outcomes in the field of Nanomedicines. Major concerns include questions as to whether the research groups, academics, industry and other stakeholders should work in unison or independently, if innovation or adaptation of new technology should be prioritized, public versus private research funding, and safeguarding versus sharing knowledge. However, despite its increasing importance for humankind, it is a matter of concern as to whether technological development can really be stimulated by patent protection. An intellectual property strategy should aim to develop a qualitative patent portfolio for continuous learning. This book addresses questions of ethics, socio-political policies and regulatory aspects of novel Nanomedicine-based products which are currently under development for the diagnosis and treatment of different types of diseases. It is divided in two parts – Part I is composed of the first 3 chapters, which focus on the “fundamentals” of legal aspects, emerging threats, advantages and disadvantages of patenting Nanomedicines, whereas Part II collects 12 chapters discussing different types of Nanomedicine-based products, their potential marketing aspects and patent protection. Whenever applied, each chapter offers a list of patents, based on a specific application in drug delivery and targeting. An outstanding team of 53 authors have contributed to this book, which will be of interest to professionals from the field of patent examiners, academics, researchers and scientists, students and other practitioners.

Predictive Toxicology in Drug Safety

Predictive Toxicology in Drug Safety PDF Author: Jinghai J. Xu
Publisher: Cambridge University Press
ISBN: 1139493094
Category : Medical
Languages : en
Pages :

Book Description
According to the Institute of Medicine (IOM) and U.S. Food and Drug Administration (FDA), 'developing new scientific approaches to detecting, understanding, predicting and preventing adverse events' was a critical path to the future of drug safety. This book brings together a collection of state-of-the-art chapters, written by experts in the drug safety field. It provides information on the present knowledge of drug side effects and their mitigation strategy during drug discovery, gives guidance for risk assessment and promotes evidence-based toxicology. Each specific area of toxicology relevant for drug discovery is discussed in detail, including theory, experimental approaches and data interpretation supported by comprehensive up-to-date references. Many chapters provide fascinating case studies, which are of general interest for those who have basic science training and are interested in how chemicals interact with the human body.

Predictive ADMET

Predictive ADMET PDF Author: Jianling Wang
Publisher: Wiley
ISBN: 9781118783269
Category : Medical
Languages : en
Pages : 616

Book Description
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.

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 PDF Author: Iyer, Sailesh Suryanarayan
Publisher: IGI Global
ISBN: 179988788X
Category : Technology & Engineering
Languages : en
Pages : 411

Book Description
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.