Lee M S, Nakanishi H, Kahn M
Molecumetics Ltd, Bellevue, WA 98005, USA.
Curr Opin Drug Discov Devel. 1999 Jul;2(4):332-41.
Combinatorial chemistry, in its ability to generate vast arrays of non-peptide and non-oligonucleotide libraries, has had a major impact on the drug discovery effort. The design and generation of a combinatorial library, coupled with the ever important and effective feedback from high-throughput screening and data management, are critical to any drug discovery process. This review will focus on some aspects of computational chemistry, solid-phase organic chemistry and downstream analysis. The emphasis will be on computational aspects of library design and the use of cyclic scaffolds in the context of a focused library for optimization in drug discovery.
组合化学能够生成大量的非肽和非寡核苷酸文库,对药物研发工作产生了重大影响。组合文库的设计与生成,再加上高通量筛选和数据管理提供的始终重要且有效的反馈,对于任何药物研发过程都至关重要。本综述将聚焦于计算化学、固相有机化学和下游分析的某些方面。重点将放在文库设计的计算方面,以及在用于药物研发优化的聚焦文库背景下环状支架的使用。