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基于 ZINC 数据库的高通量受体虚拟筛选、酮酸还原异构酶抑制剂的合成及生物学评价。

High throughput receptor-based virtual screening under ZINC database, synthesis, and biological evaluation of ketol-acid reductoisomerase inhibitors.

机构信息

Nankai University, Tianjin, China.

出版信息

Chem Biol Drug Des. 2010 Feb;75(2):228-32. doi: 10.1111/j.1747-0285.2009.00924.x. Epub 2009 Dec 17.

Abstract

Ketol-acid reductoisomerase (KARI; EC 1.1.1.86) catalyzes the second common step in branched-chain amino acid biosynthesis. This enzyme is an important target for drug design. Based on the crystal structure of ketol-acid reductoisomerase/N-hydroxy-N-isopropyloxamate (IpOHA) complex, we have carried out high throughput receptor-based virtual screening of the ZINC/drug like database (2 000 000 compounds) to look for novel inhibitors of KARI for the first time. Some novel compounds were found to inhibit rice KARI in vitro among 15 procured compounds. This method can provide useful information for further design and discovery of KARI inhibitors.

摘要

酮酸还原异构酶(KARI;EC 1.1.1.86)催化支链氨基酸生物合成的第二步。该酶是药物设计的重要靶点。基于酮酸还原异构酶/N-羟基-N-异丙基邻氨基甲酸盐(IpOHA)复合物的晶体结构,我们首次进行了基于受体的高通量虚拟筛选锌/药物样数据库(200 万种化合物),以寻找 KARI 的新型抑制剂。在 15 种获得的化合物中,有一些新化合物被发现可体外抑制水稻 KARI。该方法可为进一步设计和发现 KARI 抑制剂提供有用信息。

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