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Multidimensional Pharmacochemistry
Peter Mager
其他書名
Design of Safer Drugs
出版
Elsevier
, 2012-12-02
主題
Medical / Nursing / Pharmacology
Medical / Pharmacy
Medical / Drug Guides
Medical / Pharmacology
Science / Chemistry / General
ISBN
0323150470
9780323150477
URL
http://books.google.com.hk/books?id=NsYdE70JxMkC&hl=&source=gbs_api
EBook
SAMPLE
註釋
Multidimensional Pharmacochemistry: Design of Safer Drugs deals with techniques based on the theory of simultaneous statistical inference and the qualitative rules that can be applied in solving problems of high toxicity. This book points out that the multidimensional view of data analysis can be applied to solve problems in medicinal chemistry. Investigators use different approaches; a certain procedure can prove to be the most beneficial for a specific drug design. This text presents the theoretical assumptions that mathematicians make to derive the basis for their multivariate techniques. This book also describes, in nonmathematical terms, a set of methods that are valuable, as well as explain the different designs by using numerical examples. According to E.J. Ariens, drug action involves the pharmaceutical, pharmacokinetic-toxokinetic, and pharmacodynamics-toxodynamic phases. The multivariate structure-activity analysis (MASCA) Model of Pharmacochemistry is a highly unified multivariate approach to drug design. To develop a multidimensionally oriented pharmacology, the book notes that the investigator can use the "dynamic structure-activity analysis." This entails the experimentalist and chemist using quantitative approaches and intuitive elements from a small number of compounds toward larger groups, with successive changes being inputted in the desired biological activity. This book is strongly recommended for toxicologists, pharmacologists, applied mathematicians, medicinal and agricultural chemists.