Titel: | Computational toxicology |
Titelzusatz: | methods and protocols |
Mitwirkende: | Nicolotti, Orazio [HerausgeberIn] |
Verf.angabe: | edited by Orazio Nicolotti, Dipartimento di Farmacia-Scienze del Farmaco, Università degli Studi di Bari Aldo Moro, Bari, Italy |
Verlagsort: | New York, NY |
Verlag: | Humana Press |
E-Jahr: | 2018 |
Jahr: | [2018] |
Umfang: | xvi, 587 Seiten |
Illustrationen: | Illustrationen |
Gesamttitel/Reihe: | Methods in molecular biology ; 1800 |
Fussnoten: | Includes index |
Ang. zum Inhalt: | Molecular descriptors for structure-activity applications : a hands-on approach / Francesca Grisoni, Davide Ballabio, Roberto Todeschini, and Viviana Consonni |
| OECD QSAR toolbox starts its second decade / Terry W. Schultz, Robert Diderich, Chanita D. Kuseva, and Ovanes G. Mekenyan |
| QSAR : what else? / Giuseppina Gini |
| (Q)SARs as adaptations to REACH information requirements / Toni Alasuvanto, Andrea Gissi, Tomasz Sobanski, Panagiotis Karamertzanis, and Mike Rasenberg |
| Machine learning methods in computational toxicology / Igor I. Baskin |
| Applicability domain : a step toward confident predictions and decidability for QSAR modeling / Supratik Kar, Kunal Roy, and Jerzy Leszczynski |
| Molecular Similarity in Computational Toxicology / Matteo Floris and Stefania Olla |
| Molecular docking for predictive toxicology / Daniela Trisciuzzi, Domenico Alberga, Francesco Leonetti, Ettore Novellino, Orazio Nicolotti, and Giuseppe F. Mangiatordi |
| Criteria and application on the use of nontesting methods within a weight of evidence strategy / Anna Lombardo, Giuseppa Raitano, Domenico Gadaleta, and Emilio Benfenati |
| Characterization and management of uncertainties in toxicological risk assessment : examples from the opinions of the european food safety authority / Alberto Mantovani |
| Computational toxicology and drug discovery / Catrin Hasselgren and Glenn J. Myatt |
| Approaching pharmacological space : events and components / Giulio Vistoli, Alessandro Pedretti, Angelica Mazzolari, and Bernard Testa |
| Computational toxicology methods in chemical library design and high-throughput screening hit validation / Kirk E. Hevener |
| Enalos suite : new cheminformatics platform for drug discovery and computational toxicology / Dimitra-Danai Varsou, Spyridon Nikolakopoulos, Andreas Tsoumanis, Georgia Melagraki, and Antreas Afantitis |
| Ion channels in drug discovery and safety pharmacology / Paola Imbrici, Orazio Nicolotti, Francesco Leonetti, Diana Conte, and Antonella Liantonio |
| Computational approaches in multitarget drug discovery / Luciana Scotti, Hamilton Mitsugu Ishiki, Marcelo Cavalcante Duarte, Tiago Branquinho Oliveira, and Marcus T. Scotti |
| Nanoformulations for drug delivery : safety, toxicity, and efficacy / Antonio Lopalco and Nunzio Denora |
| Toxicity potential of nutraceuticals / Ramesh C. Gupta, Ajay Srivastava, and Rajiv Lall |
| Impact of pharmaceuticals on the environment : risk assessment using QSAR modeling approach / Supratik Kar, Kunal Roy, and Jerzy Leszczynski |
| (Q)SAR methods for predicting genotoxicity and carcinogenicity : scientific rationale and regulatory Frameworks / Cecilia Bossa, Romualdo Benigni, Olga Tcheremenskaia, and Chiara Laura Battistelli |
| Stem cell-based methods to predict developmental chemical toxicity / Hiroki Takahashi, Xian-Yang Qin, Hideko Sone, and Wataru Fujibuchi |
| Predicting chemically induced skin sensitization by using in chemico/in vitro methods / Laura H. Rossi and Janine Ezendam |
| Hepatotoxicity prediction by systems biology modeling of disturbed metabolic pathways using gene expression data / Oriol López-Massaguer, Manuel Pastor, Ferran Sanz, and Pablo Carbonell |
| Nontest methods to predict acute toxicity : state of the art for applications of in silico methods / Ronan Bureau |
| Predictive systems toxicology / Narsis A. Kiani, Ming-Mei Shang, Hector Zenil, and Jesper Tegner |
| Chemoinformatic approach to assess toxicity of ionic liquids / Anita Sosnowska, Anna Rybinska-Fryca, Maciej Barycki, Karolina Jagiello, and Tomasz Puzyn |
| Prediction of biochemical endpoints by the CORAL software : prejudices, paradoxes, and results / Andrey A. Toropov, Alla P. Toropova, Alessandra Roncaglioni, and Emilio Benfenati. |
ISBN: | 978-1-4939-7898-4 |
Abstract: | 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 |
URL: | Inhaltsverzeichnis: http://digitale-objekte.hbz-nrw.de/storage2/2018/08/07/file_13/8129451.pdf |
Schlagwörter: | (s)Toxikologie / (s)Bioinformatik |
| (s)Toxikologie / (s)Bioinformatik |
Sprache: | eng |
RVK-Notation: | VT 5353 |
K10plus-PPN: | 1641037199 |
Verknüpfungen: | → Übergeordnete Aufnahme |