Könyv Quantitative Structure-Pharmacokinetic Relationships - Artificial Neural Network Modeling Joseph Turner

Quantitative Structure-Pharmacokinetic Relationships - Artificial Neural Network Modeling

Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 14-21 napon belül
22 786 Ft
Early pharmacokinetic optimisation is a key principle in drug discovery and development. Modeling ab...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2008
oldal
160
EAN
9783836480383
ISBN
3836480387
Enbook ID
07119728
Súly
222
Méretek
152 x 229 x 9

Teljes leírás

Early pharmacokinetic optimisation is a key principle in drug discovery and development. Modeling absorption, distribution, metabolism and excretion (ADME) using experimentally-derived data is time-consuming and expensive. The use of computational in silico techniques to predict pharmacokinetic properties based on molecular structure is gaining wider validity and acceptance in the pharmaceutical industry. This book describes the use of artificial neural networks (ANN) as robust nonlinear modeling tools for developing quantitative structure-pharmacokinetic relationships (QSPkR). Different ANN paradigms are examined for predictive modeling of various pharmacokinetic parameters, both individually and simultaneously. Consideration is given to physiological processes, drug and molecular structural data, and model interpretation. As well as providing the theory behind ANN model construction, this book details their practical application in pharmaceutical research and gives meaning to many of the theoretically-derived molecular descriptors now available. A valuable resource for medicinal chemists and pharmaceutical scientists engaging in structure-property and structure-activity modeling.

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