{"product_id":"in-silico-methods-for-predicting-drug-toxicity-9781071619629","title":"In Silico Methods for Predicting Drug Toxicity","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThis fully updated book explores all-new and revised protocols involving the use of in silico models, particularly with regard to pharmaceuticals. Divided into five sections, the volume covers the modeling of pharmaceuticals in the body, toxicity data for modeling purposes, in silico models for multiple endpoints, a number of platforms for evaluating pharmaceuticals, as well as an exploration of challenges, both scientific and sociological. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and implementation advice necessary for successful results. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 680 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 01 March 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer-Verlag New York Inc.\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis extensively revised book delves into novel and updated protocols involving the utilization of in silico models, particularly in the context of pharmaceuticals. Organized into five comprehensive sections, the volume encompasses the modeling of pharmaceuticals within the body, the generation of toxicity data for modeling purposes, the application of in silico models for multiple endpoints, a survey of platforms for evaluating pharmaceuticals, as well as an exploration of the challenges, both scientific and sociological, inherent in this field. Authored for the renowned Methods in Molecular Biology series, the chapters feature the level of detail and practical implementation guidance essential for achieving successful outcomes.\u003cbr\u003e\u003cbr\u003eAuthoritative and comprehensive, In Silico Methods for Predicting Drug Toxicity, Second Edition serves as a valuable guide for readers seeking to harness the power of in silico models, a field that has now permeated a diverse range of research specialties.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 1303g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 254 x 178 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781071619629\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 2nd ed. 2022\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Paperback \/ softback","offer_id":44304035283194,"sku":"9781071619629","price":116.61,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_b47749e3-a9ec-4ac6-b811-9a85bba46fe1.jpg?v=1688021192","url":"https:\/\/shulphink.com\/products\/in-silico-methods-for-predicting-drug-toxicity-9781071619629","provider":"Shulph Ink","version":"1.0","type":"link"}