Computational Approaches in Drug Discovery, Development and Systems Pharmacology, Moini, Jahangir (Retired Professor, Science and Health Department, Eastern Florida State College, FL, USA) Oyindamola, Akinso (Assistant Professor of
Описание: Highly regarded by both students and instructors, Principles of Pharmacology: The Pathophysiologic Basis of Drug Therapy, 4th Edition, offers an integrated mechanism-based and systems-based approach to contemporary pharmacology and drug development.
Автор: Kishore R. Sakharkar, Meena K. Sakharkar, Ramesh Chandra Название: Post-genomic Approaches in Drug and Vaccine Development ISBN: 8793102844 ISBN-13(EAN): 9788793102842 Издательство: Taylor&Francis Рейтинг: Цена: 13320.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Over the past decade, genome sequencing projects and associated efforts have facilitated the discovery of several novel disease targets and the approval of several innovative drugs. To further exploit this data for human health and disease, there is a need to understand the genome data itself in detail, discover novel targets, and understand their role in physiological pathways and associated diseases with the aim of translating these discoveries to clinical and preventive medicine. It is equally important to understand the labors and limitations in integrating clinical phenotypes with genomic, transcriptomic, proteomic, and metabolomic approaches. Post-genomic Approaches to Drug and Vaccine Development focuses on some key advances in the field.
Technical topics discussed in the book include: - Drug discovery - Target identification and prioritization - Hypothesis driven multi-target drug design - Genomics in vaccine development - Gene regulatory networks - Vaccine design and development - Prediction of drug side effects in silico
Описание: Providing a comprehensive overview of the drug discovery and development pipeline, this book focuses on the integral role that computational biology methods play in this process. Covering technological advances and their relation to drug developmental processes, readers are exposed to new methods of discovery utilising the available technology.
Автор: Puratchikody A., Prabu S. Lakshmana, Umamaheswari A. Название: Computer Applications in Drug Discovery and Development ISBN: 1522573267 ISBN-13(EAN): 9781522573265 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 31977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With more restrictions upon animal experimentations, pharmaceutical industries are currently focusing on a new generation of experiments and technologies that are considerably more efficient and less controversial. The integration of computational and experimental strategies has led to the identification and development of promising compounds.Computer Applications in Drug Discovery and Development is a pivotal reference source that provides innovative research on the application of computers for discovering and designing new drugs in modern molecular biology and medicinal chemistry. While highlighting topics such as chemical structure databases and dataset utilization, this publication delves into the current panorama of drug discovery, where high drug failure rates are a major concern and properly designed virtual screening strategies can be a time-saving, cost-effective, and productive alternative. This book is ideally designed for chemical engineers, pharmacists, molecular biologists, students, researchers, and academicians seeking current research on the unexplored avenues and future perspectives of drug design.
Автор: Kenakin, Terry Название: Pharmacology in Drug Discovery and Development ISBN: 0128037520 ISBN-13(EAN): 9780128037522 Издательство: Elsevier Science Рейтинг: Цена: 11115.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Pharmacology in Drug Discovery and Development: Understanding Drug Response, Second Edition, is an introductory resource illustrating how pharmacology can be used to furnish the tools necessary to analyze different drug behavior and trace this behavior to its root cause or molecular mechanism of action. The concepts discussed in this book allow for the application of more predictive pharmacological procedures aimed at increasing therapeutic efficacy that will lead to more successful drug development.
Chapters logically build upon one another to show how to characterize the pharmacology of any given molecule and allow for more informed predictions of drug effects in all biological systems. New chapters are dedicated to the interdisciplinary drug discovery environment in both industry and academia, and special techniques involved in new drug screening and lead optimization.
This edition has been fully revised to address the latest advances and research related to real time kinetic assays, pluridimensional efficacy, signaling bias, irreversible and chemical antagonism, allosterically-induced bias, pharmacokinetics and safety, target and pathway validation, and much more. With numerous valuable chapter summaries, detailed references, practical examples and case studies throughout, Dr. Kenakin successfully navigates a highly complex subject, making it accessible for students, professors, and new researchers working in pharmacology and drug discovery.
Автор: Sandeep Kumar Название: Developability of Biotherapeutics: Computational Approaches ISBN: 1482246139 ISBN-13(EAN): 9781482246131 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Biopharmaceuticals are emerging as frontline medicines to combat several life-threatening and chronic diseases. However, such medicines are expensive to develop and produce on a commercial scale, contributing to rising healthcare costs. Developability of Biotherapeutics: Computational Approaches describes applications of computational and molecular modeling techniques that improve the overall process of discovery and development by removing empiricism.
The concept of developability involves making rational choices at the pre-clinical stages of biopharmaceutical drug development that could positively impact clinical outcomes. The book also addresses a general lack of awareness of the many different contributions that computation can make to biopharmaceutical drug development.
This informative and practical reference is a valuable resource for professionals engaged in industrial research and development, scientists working with regulatory agencies, and pharmacy, medicine, and life science students and educators. It focuses primarily on the developability of monoclonal antibody candidates, but the principles described can also be extended to other modalities such as recombinant proteins, fusion proteins, antibody drug conjugates and vaccines.
The book is organized into two sections. The first discusses principles and applications of computational approaches toward discovering and developing biopharmaceutical drugs. The second presents best practices in developability assessments of early-stage biopharmaceutical drug candidates.
In addition to raising awareness of the promise of computational research, this book also discusses solutions required to improve the success rate of translating biologic drug candidates into products available in the clinic. As such, it is a rich source of information on current principles and practices as well as a starting point for finding innovative applications of computation towards biopharmaceutical drug development.
Описание: By guiding in the application of techniques and tools for predicting ADMET outcomes in drug candidates, Predictive ADMET offers a road map for drug discovery scientists to generate effective and safe drugs for unmet medical needs.
Автор: Qing Yan Название: Systems Biology in Drug Discovery and Development ISBN: 1493957708 ISBN-13(EAN): 9781493957705 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Due to the failing “one-drug-fits-all” model, it has become increasingly necessary to develop personalized medicine that treats whole systems and brings the right drug to the right patient with the right dosages. In Systems Biology in Drug Discovery and Development: Methods and Protocols, leading experts provide a practical, state-of-the-art, and holistic view of the translation of systems biology into better drug discovery and personalized medical practice. While the first part of the book describes cutting-edge technologies and methods in the field, the second part illustrates how the technologies can be applied in science for disease understanding and therapeutic discovery. As a volume in the highly successful Methods in Molecular Biology™ series, this collection provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Authoritative and up-to-date, Systems Biology in Drug Discovery and Development: Methods and Protocols covers topics from fundamental concepts to advanced technologies in order to best serve biomedical students and professionals at all levels who are interested in vital integrative studies in molecular biology, genetics, bioinformatics, bioengineering, biochemistry, physiology, pathology, microbiology, immunology, pharmacology, toxicology, drug discovery, and clinical medicine.
Автор: Chakraborty Partha, Nagal Amit Название: Software Innovations in Clinical Drug Development and Safety ISBN: 1466687266 ISBN-13(EAN): 9781466687264 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 32848.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In light of the rising cost of healthcare and the overall challenges associated with delivering quality care to patients across regions, scientists and pharmacists are exploring new initiatives in drug discovery and design. One such initiative is the adoption of information technology and software applications to improve healthcare and pharmaceutical processes. Software Innovations in Clinical Drug Development and Safety is a comprehensive resource analyzing the integration of software engineering for the purpose of drug discovery, clinical trials, genomics, and drug safety testing. Taking a multi-faceted approach to the application of computational methods to pharmaceutical science, this publication is ideal for healthcare professionals, pharmacists, computer scientists, researchers, and students seeking the latest information on the architecture and design of software in clinical settings, the impact of clinical technologies on business models, and the safety and privacy of patients and patient data.This timely resource features a well-rounded discussion on topics pertaining to the integration of computational methods in pharmaceutical science and practice including, the impact of software integration on business models, patient safety concerns, software architecture and design, and data security.
Автор: Michael Kinch Название: A Prescription for Change: The Looming Crisis in Drug Development ISBN: 1469647575 ISBN-13(EAN): 9781469647579 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 4703.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The introduction of new medicines has dramatically improved the quantity and quality of individual and public health while contributing trillions of dollars to the global economy. In spite of these past successes--and indeed because of them--our ability to deliver new medicines may be quickly coming to an end. Moving from the beginning of the twentieth century to the present, A Prescription for Change reveals how changing business strategies combined with scientific hubris have altered the way new medicines are discovered, with dire implications for both health and the economy.
To explain how we have arrived at this pivotal moment, Michael Kinch recounts the history of pharmaceutical and biotechnological advances in the twentieth century. Kinch relates stories of the individuals and organizations that built the modern infrastructure that supports the development of innovative new medicines. He shows that an accelerating cycle of acquisition and downsizing is cannibalizing that infrastructure Kinch demonstrates the dismantling of the pharmaceutical and biotechnological research and development enterprises could also provide opportunities to innovate new models that sustain and expand the introduction of newer and better breakthrough medicines in the years to come.
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