{"product_id":"in-silico-methods-for-predicting-emilio-benfenati-9781071619599","title":"In Silico Methods for Predicting Drug Toxicity","description":"\u003cp\u003e\u003cb\u003e1. \u003c\/b\u003e\u003cb\u003eQSAR Methods\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Giuseppina Gini\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I: \u003c\/b\u003e\u003cb\u003eModeling a Pharmaceutical in the Body\u003c\/b\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cb\u003e \u003c\/b\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. PBPK Modeling to Simulate the Fate of Compounds in Living Organisms\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Fr馘駻ic Y. Bois, Cleo Tebby, and C駘ine Brochot\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e3. Pharmacokinetic Tools and Applications\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Judith C. Madden and Courtney V. Thompson\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e4. In Silico Tools and Software to Predict ADMET of New Drug Candidates\u003c\/p\u003e \u003cp\u003e Supratik Kar, Kunal Roy, and Jerzy Leszczynski\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II: \u003c\/b\u003e\u003cb\u003eExploiting Toxicity Data for Modeling Purposes\u003c\/b\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. Development of In Silico Methods for Toxicity Prediction in Collaboration between Academia and the Pharmaceutical Industry\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Manuel Pastor, Ferran Sanz, and Frank Bringezu\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e6. Emerging Bioinformatics Methods and Resources in Drug Toxicology\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Karine Audouze and Olivier Taboureau\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III: \u003c\/b\u003e\u003cb\u003eThe Use of In Silico Models for the Specific Endpoints\u003c\/b\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7. In Silico Prediction of Chemically-Induced Mutagenicity: A Weight of Evidence Approach Integrating Information from QSAR Models and Read-Across Predictions\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Enrico Mombelli, Giuseppa Raitano, and Emilio Benfenati\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e8. In Silico Methods for Chromosome Damage\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Diego Baderna, Ilse Van Overmeire, Giovanna J. Lavado, Domenico Gadaleta, and Birgit Mertens\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e9. \u003c\/b\u003e\u003cb\u003eIn Silico Methods for Carcinogenicity Assessment\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Azadi Golbamaki, Emilio Benfenati, and Alessandra Roncaglioni\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e10. In Silico Models for Developmental Toxicity\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Marco Marzo, Alessandra Roncaglioni, Sunil Kulkarni, Tara S. Barton-Maclaren, and Emilio Benfenati\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e11. In Silico Models for Repeated-Dose Toxicity (RDT): Prediction of the No Observed Adverse Effect Level (NOAEL) and Lowest Observed Adverse Effect Level (LOAEL) for Drugs\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Fabiola Pizzo, Domenico Gadaleta, and Emilio Benfenati\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e12. \u003c\/b\u003e\u003cb\u003eIn Silico Models for Predicting Acute Systemic Toxicity\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Ivanka Tsakovska, Antonia Diukendjieva, and Andrew P. Worth\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e13. In Silico Models for Skin Sensitization and Irritation\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Gianluca Selvestrel, Federica Robino, and Matteo Zanotti Russo\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14. In Silico Models for Hepatotoxicity\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Claire Ellison, Mark Hewitt, and Katarzyna Przybylak\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e15. Machine Learning Models for Predicting Liver Toxicity\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e Jie Liu, Wenjing Guo, Sugunadevi Sakkiah, Zuowei Ji, Gokhan Yavas, Wen Zou, Minjun Chen, Weida Tong, Tucker A Patterson, and Huixiao Hong\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV: \u003c\/b\u003e\u003cb\u003ePlatforms for Evaluating Pharmaceuticals\u003c\/b\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Emilio Benfenati\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1071619594\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781071619599\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Humana\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 02\/22\/2022\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 680\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 2.80lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.10h x 7.30w x 1.60d\u003c\/p\u003e","brand":"Emilio Benfenati","offers":[{"title":"Hardcover","offer_id":43945113649407,"sku":"9781071619599","price":249.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/products\/img_a07583c3-faf7-4272-8ef5-326dff53b832.jpg?v=1681506859","url":"https:\/\/www.whiterainbookhouse.com\/products\/in-silico-methods-for-predicting-emilio-benfenati-9781071619599","provider":"WR Book House","version":"1.0","type":"link"}