| Literature DB >> 15288251 |
Abstract
Cheminformatic analysis of drug-related compound databases has enabled the identification of the physicochemical properties that have the greatest influence on determining the drug-like characteristics of a compound. This enables definition of the parameters and profiles used in constructing a high-quality combinatorial library. Awareness of the multi-objective nature of combinatorial library construction has also given rise to techniques designed to enhance the likelihood of including the best compounds in a given library.Mesh:
Substances:
Year: 2004 PMID: 15288251 DOI: 10.1016/j.cbpa.2004.04.017
Source DB: PubMed Journal: Curr Opin Chem Biol ISSN: 1367-5931 Impact factor: 8.822