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Computational Toxicology, Orazio Nicolotti


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Автор: Orazio Nicolotti
Название:  Computational Toxicology
ISBN: 9781493993192
Издательство: Springer
Классификация:

ISBN-10: 1493993194
Обложка/Формат: Soft cover
Страницы: 587
Вес: 1.13 кг.
Дата издания: 2018
Серия: Methods in Molecular Biology
Язык: English
Издание: Softcover reprint of
Иллюстрации: 115 illustrations, color; 62 illustrations, black and white; xvi, 587 p. 177 illus., 115 illus. in color.
Размер: Book (Paperback Initiative)
Читательская аудитория: Professional & vocational
Основная тема: Biomedicine
Подзаголовок: Methods and Protocols
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:
This volume explores techniques that are currently used to understand solid target-specific models in computational toxicology. The chapters are divided into four sections and discuss topics such as molecular descriptors, QSAR and read-across; molecular and data modeling techniques to comply with both scientific and regulatory sides; computational toxicology in drug discovery; and strategies on how to predict various human-health toxicology endpoints. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the methods and software tools used, step-by-step, readily reproducible computational protocols, and tips on troubleshooting and avoiding known pitfalls.
Comprehensive and cutting-edge, Computational Toxicology: Methods and Protocols is a valuable resource for researchers who are interested in learning more about this expanding field.

Дополнительное описание: Molecular Descriptors For Structure-Activity Applications: A Hands-On Approach.- The OECD QSAR Toolbox Starts Its Second Decade.- QSAR: What Else? .- (Q)SARs as Adaptations to REACH Information Requirements.- Machine Learning Methods In Computational Toxi



Computational toxicology

Название: Computational toxicology
ISBN: 1493978985 ISBN-13(EAN): 9781493978984
Издательство: Springer
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Цена: 16769.00 р.
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Описание:

Dedication...

Preface...

Table of Contents...

Contributing Authors...

Part I Where We Are and Where We Are Going To


1. Molecular Descriptors For Structure-Activity Applications: A Hands-On Approach

Francesca Grisoni, Davide Ballabio, Roberto Todeschini, and Viviana Consonni


2. The OECD QSAR Toolbox Starts Its Second Decade

Terry W. Schultz, Robert Diderich, Chanita D. Kuseva, and Ovanes G. Mekenyan


3. QSAR: What Else?

Giuseppina Gini


4. (Q)SARs as Adaptations to REACH Information Requirements

Toni Alasuvanto, Andrea Gissi, Tomasz Sobanski, Panagiotis Karamertzanis, and Mike Rasenberg


Part II Molecular and Data Modeling


5. Machine Learning Methods In Computational Toxicology

Igor I. Baskin


6. Applicability Domain: A Step Toward Confident Predictions And Decidability for QSAR Modeling

Supratik Kar, Kunal Roy, and Jerzy Leszczynski


7. Molecular Similarity In Computational Toxicology

Matteo Floris and Stefania Olla


8. Molecular Docking for Predictive Toxicology

Daniela Trisciuzzi, Domenico Alberga, Francesco Leonetti, Ettore Novellino, Orazio Nicolotti, and Giuseppe F. Mangiatordi


9. Criteria and Application on the use of Non-Testing Methods within a Weight of Evidence Strategy

Anna Lombardo, Giuseppa Raitano, Domenico Gadaleta, and Emilio Benfenati


10. Characterization and Management of Uncertainties in Toxicological Risk Assessment: Examples from the Opinions of the European Food Safety Authority

Alberto Mantovani


Part III Impact in Drug Discovery and Development


11. Computational Toxicology and Drug Discovery

Catrin Hasselgren and Glenn J. Myatt


12. Approaching Pharmacological Space: Events and Components

Giulio Vistoli, Alessandro Pedretti, Angelica Mazzolari, and Bernard Testa


13. Computational Toxicology Methods in Chemical Library Design and High-Throughput Screening Hit Validation

Kirk E. Hevener


14. Enalos Suite: New Cheminformatics Platform for Drug Discovery and Computational Toxicology

Dimitra-Danai Varsou, Spyridon Nikolakopoulos, Andreas Tsoumanis, Georgia Melagraki, and Antreas Afantitis


15. Ion Channels In Drug Discovery and Safety Pharmacology

Paola Imbrici, Orazio Nicolotti, Francesco Leonetti, Diana Conte, and Antonella Liantonio


16. Computational Approaches in Multi-Target Drug Discovery

Luciana Scotti, Hamilton M. Ishiki, Marcelo Cavalcante Duarte, Tiago Branquinho Oliveira, and Marcus T. Scotti


17. Nano-Formulations for Drug Delivery: Safety, Toxicity, and Efficacy

Antonio Lopalco and Nunzio Denora


18. Toxicity Potential Of Nutraceuticals

Ramesh C. Gupta, Ajay Srivastava, and Rajiv Lall


19. Impact of Pharmaceuticals on the Environment: Risk Assessment using QSAR Modeling Approach

Supratik Kar, Kunal Roy, and Jerzy Leszczynski


Part IV Predicting Human Health Toxicology Endpoints


20. (Q)SAR Methods for Predicting Genotoxicity and Carcinogenicity: Scientific Rationale and Regulatory Frameworks

Cecilia Bossa, Romualdo Benigni, Olga Tcheremenskaia, and Chiara Laura Battistelli


21. Stem Cell-Based Methods to Predict Developmental Chemical Toxicity

Hiroki Takahashi, Xian-Yang Qin, Hideko Sone, and Wataru Fujibuchi


22. Predicting Chemically-Induced Skin Sensitisation by using In Chemico/In Vitro Methods

Laura H. Rossi and Janine Ezendam


23. Hepatotoxicity Prediction by Systems Biology Modeling of Disturbed Metabolic Pathways using Gene Expression Data

Oriol Lуpez-Mas

Modern Computational Approaches to Traditional Chinese Medicine

Автор: Wu Zhaohui
Название: Modern Computational Approaches to Traditional Chinese Medicine
ISBN: 0323282725 ISBN-13(EAN): 9780323282727
Издательство: Elsevier Science
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Цена: 16001.00 р.
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Описание: Recognized as an essential component of Chinese culture, Traditional Chinese Medicine (TCM) is both an ancient medical system and one still used widely in China today. TCM’s independently evolved knowledge system is expressed mainly in the Chinese language and the information is frequently only available through ancient classics and confidential family records, making it difficult to utilize. The major concern in TCM is how to consolidate and integrate the data, enabling efficient retrieval and discovery of novel knowledge from the dispersed data. Computational approaches such as data mining, semantic reasoning and computational intelligence have emerged as innovative approaches for the reservation and utilization of this knowledge system. Typically, this requires an inter-disciplinary approach involving Chinese culture, computer science, modern healthcare and life sciences. This book examines the computerization of TCM information and knowledge to provide intelligent resources and supporting evidences for clinical decision-making, drug discovery, and education. Recent research results from the Traditional Chinese Medicine Informatics Group of Zhejiang University are presented, gathering in one resource systematic approaches for massive data processing in TCM. These include the utilization of modern Semantic Web and data mining methods for more advanced data integration, data analysis and integrative knowledge discovery. This book will appeal to medical professionals, life sciences students, computer scientists, and those interested in integrative, complementary, and alternative medicine.

Veterinary Toxicology

Автор: Gupta, Ramesh C.
Название: Veterinary Toxicology
ISBN: 012811410X ISBN-13(EAN): 9780128114100
Издательство: Elsevier Science
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Цена: 20043.00 р.
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Описание: Veterinary Toxicology, Basic and Clinical Principles, Third Edition, is a unique, single reference that teaches the basic principles of veterinary toxicology to any student at the DVM, MS or PhD level. While comparable texts are primarily directed on the field of human toxicology, this text thoroughly prepares toxicologists and students on the newest approaches for diagnosing chemical and plant poisoning cases in animals. Many chapters on topics not covered in any previous books are provided, such as target organ toxicity, radiation and radioactive materials, FDA regulatory issues, and ethics in veterinary toxicology. . Completely revised and updated to include the most recent developments in the field, including new toxins, methods and regions, this book is an essential resource for advanced students and researchers in toxicology, practicing veterinary toxicologists, poison control centers, marine biologists, environmentalists and animal scientists.

Computational Systems Pharmacology and Toxicology

Название: Computational Systems Pharmacology and Toxicology
ISBN: 1782623329 ISBN-13(EAN): 9781782623328
Издательство: Royal Society of Chemistry
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Цена: 33581.00 р.
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Описание: This book discusses computational tools for modelling pharmacology and toxicology of naturally occurring chemicals. This is a useful reference for students, academics and practitioners.

Computational Toxicology

Автор: Brad Reisfeld; Arthur N. Mayeno
Название: Computational Toxicology
ISBN: 1493963260 ISBN-13(EAN): 9781493963263
Издательство: Springer
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Цена: 23058.00 р.
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Описание: This resource features essential background, context, examples, useful tips, and an overview of current developments in the field. It includes cutting-edge methods and protocols as well as implementation advice from the experts.

Computational Biology

Автор: Tuan Pham
Название: Computational Biology
ISBN: 146142478X ISBN-13(EAN): 9781461424789
Издательство: Springer
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Цена: 28732.00 р.
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Описание: This volume covers techniques in computational biology and their applications in oncology. It details advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, and image and pattern analysis applied to cancer research.

Computational Medicinal Chemistry Set

Название: Computational Medicinal Chemistry Set
ISBN: 1782620915 ISBN-13(EAN): 9781782620914
Издательство: Royal Society of Chemistry
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Цена: 126491.00 р.
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Описание: This set provides the latest information on harnessing quantitative and computational methods, including structure-based design, molecular modelling and simulation, for medicinal chemistry.

Advances in Computational Toxicology

Автор: Huixiao Hong
Название: Advances in Computational Toxicology
ISBN: 303016442X ISBN-13(EAN): 9783030164423
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This book provides a comprehensive review of both traditional and cutting-edge methodologies that are currently used in computational toxicology and specifically features its application in regulatory decision making. The authors from various government agencies such as FDA, NCATS and NIEHS industry, and academic institutes share their real-world experience and discuss most current practices in computational toxicology and potential applications in regulatory science. Among the topics covered are molecular modeling and molecular dynamics simulations, machine learning methods for toxicity analysis, network-based approaches for the assessment of drug toxicity and toxicogenomic analyses. Offering a valuable reference guide to computational toxicology and potential applications in regulatory science, this book will appeal to chemists, toxicologists, drug discovery and development researchers as well as to regulatory scientists, government reviewers and graduate students interested in this field.

Pharmacokinetic Profiling in Drug Research: Biological, Physicochemical, and Computational Strategies

Автор: Bernard Testa
Название: Pharmacokinetic Profiling in Drug Research: Biological, Physicochemical, and Computational Strategies
ISBN: 3906390357 ISBN-13(EAN): 9783906390352
Издательство: Wiley
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Цена: 35949.00 р.
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Описание: Informatics and robotics are the workhorses of a technological revolution in drug research. On them are based combinatorial chemistry, which yields compounds by the many thousands, and high-throughput bioassays, which screen them for activity. The results are avalanches of `hits`, which invade the databases like swarms of locusts.


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