## 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
β¦ LIBER β¦
ChemInform Abstract: In silico pKa Prediction and ADME Profiling
β Scribed by Gabriele Cruciani; Francesca Milletti; Loriano Storchi; Gianluca Sforna; Laura Goracci
- Book ID
- 102041407
- Publisher
- John Wiley and Sons
- Year
- 2010
- Weight
- 15 KB
- Volume
- 41
- Category
- Article
- ISSN
- 0931-7597
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β¦ Synopsis
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 via the βReferencesβ option.
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