In Silico Methods for Predicting Drug Toxicity (Methods in Molecular Biology) (2ND)

個数:

In Silico Methods for Predicting Drug Toxicity (Methods in Molecular Biology) (2ND)

  • 提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
    重要ご説明事項
    1. 納期遅延や、ご入手不能となる場合が若干ございます。
    2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
    3. 美品のご指定は承りかねます。

    ●3Dセキュア導入とクレジットカードによるお支払いについて
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 680 p.
  • 言語 ENG
  • 商品コード 9781071619629
  • DDC分類 615.190113

Full Description

This 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. 
Authoritative and comprehensive, In Silico Methods for Predicting Drug Toxicity, Second Edition aims to guide the reader through the correct procedures needed to harness in silico models, a field which now touches a wide variety of research specialties.

Contents

QSAR Methods.- PBPK Modeling to Simulate the Fate of Compounds in Living Organisms.- Pharmacokinetic Tools and Applications.- In Silico Tools and Software to Predict ADMET of New Drug Candidates.- Development of In Silico Methods for Toxicity Prediction in Collaboration between Academia and the Pharmaceutical Industry.- Emerging Bioinformatics Methods and Resources in Drug Toxicology.- In Silico Prediction of Chemically-Induced Mutagenicity: A Weight of Evidence Approach Integrating Information from QSAR Models and Read-Across Predictions.- In Silico Methods for Chromosome Damage.- In Silico Methods for Carcinogenicity Assessment.- In Silico Models for Developmental Toxicity.- 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.- In Silico Models for Predicting Acute Systemic Toxicity.- In Silico Models for Skin Sensitization and Irritation.- In Silico Models for Hepatotoxicity.- Machine Learning Models for Predicting Liver Toxicity.- Implementation of In Silico Toxicology Protocols in Leadscope.- Use of Lhasa Limited Products for the In Silico Prediction of Drug Toxicity.- Using VEGAHUB within a Weight-of-Evidence Strategy.- MultiCASE Platform for In Silico Toxicology.- Adverse Outcome Pathways as Versatile Tools in Liver Toxicity Testing.- The Use of In Silico Methods for the Regulatory Toxicological Assessment of Pharmaceutical Impurities.- Computational Modeling of Mixture Toxicity.- In Silico Methods for Ecological Risk Assessment: Principles, Tiered Approaches, Applications, and Future Perspectives.- Increasing the Value of Data within a Large Pharmaceutical Company through In Silico Models.

最近チェックした商品