From
          GreatBookPrices, Columbia, MD, U.S.A.
            
  Seller rating 5 out of 5 stars
      
         
    
        
AbeBooks Seller since 6 April 2009
Seller Inventory # 25238864-n
This detailed volume explores in silico methods for pharmaceutical toxicity by combining the theoretical advanced research with the practical application of the tools. Beginning with a section covering sophisticated models addressing the binding to receptors, pharmacokinetics and adsorption, metabolism, distribution, and excretion, the book continues with chapters delving into models for specific toxicological and ecotoxicological endpoints, as well as broad views of the main initiatives and new perspectives which will very likely improve our way of modelling pharmaceuticals. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that is key for achieving successful research results.
Authoritative and practical, In Silico Methods for Predicting Drug Toxicity offers the advantage of incorporating data and knowledge from different fields, such as chemistry, biology, -omics, and pharmacology, to achieve goals in this vital area of research.
From the Back Cover:
This detailed volume explores in silico methods for pharmaceutical toxicity by combining the theoretical advanced research with the practical application of the tools. Beginning with a section covering sophisticated models addressing the binding to receptors, pharmacokinetics and adsorption, metabolism, distribution, and excretion, the book continues with chapters delving into models for specific toxicological and ecotoxicological endpoints, as well as broad views of the main initiatives and new perspectives which will very likely improve our way of modelling pharmaceuticals. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that is key for achieving successful research results.
Authoritative and practical, In Silico Methods for Predicting Drug Toxicity offers the advantage of incorporating data and knowledge from different fields, such as chemistry, biology, -omics, and pharmacology, to achieve goals in this vital area of research.
                      Title: In Silico Methods for Predicting Drug ...
                                Publisher: Humana
          
                      Publication Date: 2016
          
                      Binding: Hardcover
          
          
                      Condition: New
          
          
          
          
                  
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes cutting-edge methods and protocols involving in silico techniquesProvides step-by-step detail essential for reproducible resultsContains key notes and implementation advice from the expertsThis detailed volume explor. Seller Inventory # 106243263
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. In Silico Methods for Predicting Drug Toxicity | Emilio Benfenati | Buch | xi | Englisch | 2016 | Springer New York | EAN 9781493936076 | Verantwortliche Person für die EU: Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 104060489
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9781493936076_new
Quantity: Over 20 available
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New. Seller Inventory # ABLIING23Mar2716030185862
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Buch. Condition: Neu. Neuware -This detailed volume explores in silico methods forpharmaceutical toxicity by combiningthe theoretical advanced research with the practical application of the tools.Beginning with a section covering sophisticated models addressing the bindingto receptors, pharmacokinetics and adsorption, metabolism, distribution, andexcretion, the book continues with chapters delving into models for specifictoxicological and ecotoxicological endpoints, as well as broad views of themain initiatives and new perspectives which will very likely improve our way ofmodelling pharmaceuticals. Written for the highly successful Methods in Molecular Biology serieschapters include the kind of detailed implementation advice that is key forachieving successful research results.Authoritative and practical, In Silico Methods for Predicting DrugToxicity offers the advantage of incorporating data and knowledge fromdifferent fields, such as chemistry, biology, -omics, and pharmacology, toachieve goals in this vital area of research.Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 548 pp. Englisch. Seller Inventory # 9781493936076
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This detailed volume explores in silico methods forpharmaceutical toxicity by combiningthe theoretical advanced research with the practical application of the tools.Beginning with a section covering sophisticated models addressing the bindingto receptors, pharmacokinetics and adsorption, metabolism, distribution, andexcretion, the book continues with chapters delving into models for specifictoxicological and ecotoxicological endpoints, as well as broad views of themain initiatives and new perspectives which will very likely improve our way ofmodelling pharmaceuticals. Written for the highly successful Methods in Molecular Biology series,chapters include the kind of detailed implementation advice that is key forachieving successful research results.Authoritative and practical, In Silico Methods for Predicting DrugToxicity offers the advantage of incorporating data and knowledge fromdifferent fields, such as chemistry, biology, -omics, and pharmacology, toachieve goals in this vital area of research. 548 pp. Englisch. Seller Inventory # 9781493936076
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This detailed volume explores in silico methods forpharmaceutical toxicity by combiningthe theoretical advanced research with the practical application of the tools.Beginning with a section covering sophisticated models addressing the bindingto receptors, pharmacokinetics and adsorption, metabolism, distribution, andexcretion, the book continues with chapters delving into models for specifictoxicological and ecotoxicological endpoints, as well as broad views of themain initiatives and new perspectives which will very likely improve our way ofmodelling pharmaceuticals. Written for the highly successful Methods in Molecular Biology series,chapters include the kind of detailed implementation advice that is key forachieving successful research results.Authoritative and practical, In Silico Methods for Predicting DrugToxicity offers the advantage of incorporating data and knowledge fromdifferent fields, such as chemistry, biology, -omics, and pharmacology, toachieve goals in this vital area of research. Seller Inventory # 9781493936076
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. Editor(s): Benfenati, Emilio. Series: Methods in Molecular Biology. Num Pages: 545 pages, 37 black & white illustrations, 156 colour illustrations, 51 black & white tables, 2 colo. BIC Classification: MMG. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 30. Weight in Grams: 1213. . 2016. 1st ed. 2016. hardcover. . . . . Seller Inventory # V9781493936076
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 545 pages. 10.50x7.25x1.50 inches. In Stock. Seller Inventory # x-1493936077
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. Editor(s): Benfenati, Emilio. Series: Methods in Molecular Biology. Num Pages: 545 pages, 37 black & white illustrations, 156 colour illustrations, 51 black & white tables, 2 colo. BIC Classification: MMG. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 30. Weight in Grams: 1213. . 2016. 1st ed. 2016. hardcover. . . . . Books ship from the US and Ireland. Seller Inventory # V9781493936076