## Abstract Improving the ADME profile of drug candidates is a critical step in lead optimization, and because p__K__~a~ affects most ADME properties such as lipophilicity, solubility, and metabolism, it is extremely advantageous to predict p__K__~a~ in order to guide the design of new compounds. H
Predicting ADME properties in silico: methods and models
β Scribed by Darko Butina; Matthew D Segall; Katrina Frankcombe
- Book ID
- 114383985
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 72 KB
- Volume
- 7
- Category
- Article
- ISSN
- 1359-6446
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π SIMILAR VOLUMES
This book presents an interdisciplinary overview on the most recent advances in QSAR studies. The first part consists of a comprehensive review of QSAR methodology. The second part highlights the interdisciplinary aspects and new areas of QSAR modelling.
## Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a βFull Textβ option. The original article is trackable v