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Predictive Admet
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Download or read book Predictive ADMET written by Jianling Wang and published by John Wiley & Sons. This book was released on 2014-02-28 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book helps readers integrate in silico, invitro, and in vivo ADMET (absorption,distribution, metabolism, elimination and toxicity) and PK(pharmacokinetics) data with routine testing applications so thatpharmaceutical scientists can diagnose ADMET problems and presentappropriate recommendations to move drug discovery programsforward. The book introduces the current clinical practice for drugdiscovery and development along with the impact on early riskassessment; consolidates the tools and models to intelligentlyintegrate existing in silico, invitro and in vivo ADMET data; anddemonstrates successful cases and lessons learned from real drugdiscovery and development. In short, it is a book aimed to providea practical road map for drug discovery and development scientiststo generate efficacious and safe drugs for unmet medical needs.
Book Synopsis ADMET for Medicinal Chemists by : Katya Tsaioun
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.
Book Synopsis Virtual ADMET Assessment in Target Selection and Maturation by : Bernard Testa
Download or read book Virtual ADMET Assessment in Target Selection and Maturation written by Bernard Testa and published by IOS Press. This book was released on 2006 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Translational ADMET for Drug Therapy by : Souzan B. Yanni
Download or read book Translational ADMET for Drug Therapy written by Souzan B. Yanni and published by John Wiley & Sons. This book was released on 2015-09-24 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis In vivo Models for Drug Discovery by : José Miguel Vela
Download or read book In vivo Models for Drug Discovery written by José Miguel Vela and published by John Wiley & Sons. This book was released on 2014-08-11 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Computational Toxicology by : Sean Ekins
Download or read book Computational Toxicology written by Sean Ekins and published by John Wiley & Sons. This book was released on 2018-02-13 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Patenting Nanomedicines by : Eliana B. Souto
Download or read book Patenting Nanomedicines written by Eliana B. Souto and published by Springer Science & Business Media. This book was released on 2012-07-06 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: “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.
Book Synopsis Predictive Toxicology in Drug Safety by : Jinghai J. Xu
Download or read book Predictive Toxicology in Drug Safety written by Jinghai J. Xu and published by Cambridge University Press. This book was released on 2010-09-27 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Predictive ADMET written by Jianling Wang and published by Wiley. This book was released on 2014-04-11 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization by : Iyer, Sailesh Suryanarayan
Download or read book Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization written by Iyer, Sailesh Suryanarayan and published by IGI Global. This book was released on 2021-12-24 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Research Anthology on Bioinformatics, Genomics, and Computational Biology by : Management Association, Information Resources
Download or read book Research Anthology on Bioinformatics, Genomics, and Computational Biology written by Management Association, Information Resources and published by IGI Global. This book was released on 2024-03-19 with total page 1509 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection by : Arpana Parihar
Download or read book Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV2 Infection written by Arpana Parihar and published by Academic Press. This book was released on 2022-07-13 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development by : Kunal Roy
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
Book Synopsis Computational Approaches in Drug Discovery and Precision Medicine by : Zunnan Huang
Download or read book Computational Approaches in Drug Discovery and Precision Medicine written by Zunnan Huang and published by Frontiers Media SA. This book was released on 2021-03-15 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Recent Advances in Pharmaceutical Innovation and Research by : Prati Pal Singh
Download or read book Recent Advances in Pharmaceutical Innovation and Research written by Prati Pal Singh and published by Springer Nature. This book was released on 2023-10-13 with total page 774 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers several important aspects of pharmaceutical research and innovations. It presents important topics on drug delivery, novel microsponge, nanocrystals, polymeric nanoparticles, peptide synthesis, biopharmaceuticals, pharmacodynamics, yeast flocculation, neuromodulators, innovative drug discovery, pharmacoinformatics, aminoquinoline, thiourea crystals for API synthesis, FDCs and formulations research, ayurveda and natural products, and innovations to militate anti-microbial resistance (AMR). A chapter is devoted to the applications of Artificial Intelligence and Machine Learning in diverse sectors of the pharmaceutical industry, including drug discovery and development, drug repurposing, and improving pharmaceutical productivity. The book also reviews the role of pharmacogenomics and pharmacogenetics in drug development and precision medicine. Further, the book presents an updated summary of recent advances in the fields of nanomedicines and nano-based drug delivery systems. This book is useful to pharmaceutical sciences students, researchers, educators, and professionals in the pharmaceutical industry to understand the intricacies of new drug research and innovations.
Book Synopsis BIOINFORMATICS, FIFTH EDITION by : RASTOGI, S.C.
Download or read book BIOINFORMATICS, FIFTH EDITION written by RASTOGI, S.C. and published by PHI Learning Pvt. Ltd.. This book was released on 2022-04-05 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed as a comprehensive text for students and professionals pursuing careers in the fields of bioinformatics, molecular biology, pharmacy and drug research, the Fifth Edition continues to offer a fascinating and authoritative treatment of the entire spectrum of bioinformatics, covering a wide range of high-throughput technologies. The content can be used for four core courses: bioinformatics fundamentals, genomics, proteomics and drug discovery and design. The Fifth Edition takes a completely new pedagogical approach and the book is divided into eight distinct Units for the ease of learning: Bioinformatics Fundamentals, Sequence Alignment, Phylogenetic Analysis, Genomics, Protein Structure and Function, Drug Discovery Methods, Drug Design and Development and Integrative Topics. Accordingly, all the chapters are revised and updated in the new edition, besides introduction of seven new chapters and another seven completely re-written chapters. As a student-friendly text, it embodies several pedagogical features such as detailed examples, numerous tables, a large number of diagrams, flow charts and web resources. The book in its present edition should prove an invaluable asset to the students and researchers in the fields of bioinformatics, biotechnology, computer-aided drug design, information technology, medical diagnostics, molecular biology and pharmaceutical sciences. NEW TO THE FIFTH EDITION • Re-written chapters — Biological database search and data retrieval, Pair-wise alignment of sequences, PSSMs and Hidden Markov Models, Gene Mapping, Gene Prediction, Protein Structure Overview and Protein Structure Prediction. • Inclusion of new chapters—Scoring Matrices, Gene Sequencing, Regulatory Elements Prediction, Comparative Genomics, Protein Structure Databases, Protein Function Prediction and Potential Drug Targets. KEY FEATURES • Covers the field of bioinformatics in a complete and integrated approach – moving from the fundamentals to theory and practical applications. • State-of-the-art technologies for gene identification, molecular modeling and monitoring of cellular processes. • Data mining, data curation and analysis, classification, interpretation and efficient structure determination of genomes and proteomes. • Companion website provides useful resources for the teachers as well as for the students. So, visit Learning Centre https:// www.phindia.com/bioinformatics_mendiratta_rastogi to have access of Lecture notes, solutions manual, MCQs, problems set for practice, glossary of important terms, etc. TARGET AUDIENCE • UG and PG Students of Bioinformatics, Biotechnology, Molecular Biology and Pharmacy.
Book Synopsis Machine Learning and Deep Learning in Computational Toxicology by : Huixiao Hong
Download or read book Machine Learning and Deep Learning in Computational Toxicology written by Huixiao Hong and published by Springer Nature. This book was released on 2023-03-11 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of machine learning and deep learning algorithms, methods, architectures, and software tools that have been developed and widely applied in predictive toxicology. It compiles a set of recent applications using state-of-the-art machine learning and deep learning techniques in analysis of a variety of toxicological endpoint data. The contents illustrate those machine learning and deep learning algorithms, methods, and software tools and summarise the applications of machine learning and deep learning in predictive toxicology with informative text, figures, and tables that are contributed by the first tier of experts. One of the major features is the case studies of applications of machine learning and deep learning in toxicological research that serve as examples for readers to learn how to apply machine learning and deep learning techniques in predictive toxicology. This book is expected to provide a reference for practical applications of machine learning and deep learning in toxicological research. It is a useful guide for toxicologists, chemists, drug discovery and development researchers, regulatory scientists, government reviewers, and graduate students. The main benefit for the readers is understanding the widely used machine learning and deep learning techniques and gaining practical procedures for applying machine learning and deep learning in predictive toxicology.
