Computational Toxicology

Methods and Protocols
 
 
Humana Press Inc.
  • erschienen am 23. Juni 2018
 
  • Buch
  • |
  • Hardcover
  • |
  • XVI, 587 Seiten
978-1-4939-7898-4 (ISBN)
 
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.
2018
  • Englisch
  • NY
  • |
  • USA
  • Für Beruf und Forschung
  • 115 farbige Abbildungen, 62 s/w Abbildungen
  • |
  • 37 schwarz-weiße Abbildungen, Bibliographie
  • Höhe: 254 mm
  • |
  • Breite: 178 mm
  • 1317 gr
978-1-4939-7898-4 (9781493978984)
1493978985 (1493978985)
weitere Ausgaben werden ermittelt

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 López-Massaguer, Manuel Pastor, Ferran Sanz, and Pablo Carbonell

24. Non-Test Methods to Predict Acute Toxicity: State of Art for Applications of In Silico Methods

Ronan Bureau

25. Predictive Systems Toxicology

Narsis A. Kiani, Ming-Mei Shang, Hector Zenil, and Jesper Tegner

26. Chemoinformatic Approach to Assess Toxicity of Ionic Liquids

Anita Sosnowska, Anna Rybinska-Fryca, Maciej Barycki, Karolina Jagiello, and Tomasz Puzyn

27. Prediction of Biochemical Endpoints by the CORAL Software: Prejudices, Paradoxes, and Results

Andrey A. Toropov, Alla P. Toropova, Alessandra Roncaglioni, and Emilio Benfenati

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 both with 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.

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