Chemoinformatics methods for systematic comparison of molecules from natural and synthetic sources and design of hybrid libraries

被引:16
作者
Bajorath, J
机构
[1] Albany Mol Res Inc, Bothell Res Ctr, Bothell, WA 98011 USA
[2] Univ Washington, Dept Biol Struct, Seattle, WA 98195 USA
关键词
computational analysis; molecular descriptors; natural and synthetic molecules; database analysis; similarity searching; library design; compound arrays; hybrid libraries;
D O I
10.1023/A:1021321621406
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Until recently, the field of diversity and library design has more or less ignored natural products as a compound source. This is probably due to at least two reasons. First, combinatorial and reaction-based approaches have been major focal points in the early days of computational library design. In addition, a widespread view is that natural products are often highly complex and not amenable to medicinal chemistry efforts. This contribution introduces recent computational approaches to systematically analyze natural molecules and bridge the gap between natural products and synthetic chemistry programs. Large scale comparisons of natural and synthetic molecules are discussed as well as studies designed to identify 'synthetic mimics' of natural products with specific activity. In addition, a concept for the design of natural/synthetic hybrid libraries is introduced. Although research in this area is still in its early stages, an important lesson to be learned from computational analyses is that there is no need to a priori 'shy away' from natural products as a source for molecular design.
引用
收藏
页码:305 / 313
页数:9
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