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发现新型马来丝虫天冬酰胺-tRNA合成酶抑制剂并将特异性与构象变化相关联。

Discovering new classes of Brugia malayi asparaginyl-tRNA synthetase inhibitors and relating specificity to conformational change.

作者信息

Sukuru Sai Chetan K, Crepin Thibaut, Milev Youli, Marsh Liesl C, Hill Jonathan B, Anderson Regan J, Morris Jonathan C, Rohatgi Anjali, O'Mahony Gavin, Grøtli Morten, Danel Franck, Page Malcolm G P, Härtlein Michael, Cusack Stephen, Kron Michael A, Kuhn Leslie A

机构信息

Department of Biochemistry and Molecular Biology, Michigan State University, 502C Biochemistry Building, East Lansing, MI 48824, USA.

出版信息

J Comput Aided Mol Des. 2006 Mar;20(3):159-78. doi: 10.1007/s10822-006-9043-5. Epub 2006 Apr 28.

DOI:10.1007/s10822-006-9043-5
PMID:16645791
Abstract

SLIDE software, which models the flexibility of protein and ligand side chains while docking, was used to screen several large databases to identify inhibitors of Brugia malayi asparaginyl-tRNA synthetase (AsnRS), a target for anti-parasitic drug design. Seven classes of compounds identified by SLIDE were confirmed as micromolar inhibitors of the enzyme. Analogs of one of these classes of inhibitors, the long side-chain variolins, cannot bind to the adenosyl pocket of the closed conformation of AsnRS due to steric clashes, though the short side-chain variolins identified by SLIDE apparently bind isosterically with adenosine. We hypothesized that an open conformation of the motif 2 loop also permits the long side-chain variolins to bind in the adenosine pocket and that their selectivity for Brugia relative to human AsnRS can be explained by differences in the sequence and conformation of this loop. Loop flexibility sampling using Rigidity Optimized Conformational Kinetics (ROCK) confirms this possibility, while scoring of the relative affinities of the different ligands by SLIDE correlates well with the compounds' ranks in inhibition assays. Combining ROCK and SLIDE provides a promising approach for exploiting conformational flexibility in structure-based screening and design of species selective inhibitors.

摘要

SLIDE软件在对接时可模拟蛋白质和配体侧链的灵活性,该软件被用于筛选多个大型数据库,以识别马来布鲁线虫天冬酰胺-tRNA合成酶(AsnRS)的抑制剂,AsnRS是抗寄生虫药物设计的一个靶点。SLIDE识别出的七类化合物被确认为该酶的微摩尔级抑制剂。这些抑制剂类别之一的长侧链痘病毒素类似物,由于空间冲突,无法与AsnRS封闭构象的腺苷口袋结合,不过SLIDE识别出的短侧链痘病毒素显然与腺苷等排结合。我们推测,基序2环的开放构象也能使长侧链痘病毒素结合在腺苷口袋中,并且它们对布鲁线虫相对于人类AsnRS的选择性可以通过该环的序列和构象差异来解释。使用刚性优化构象动力学(ROCK)进行环灵活性采样证实了这种可能性,而SLIDE对不同配体相对亲和力的评分与化合物在抑制试验中的排名相关性良好。将ROCK和SLIDE结合起来,为在基于结构的筛选和物种选择性抑制剂设计中利用构象灵活性提供了一种很有前景的方法。

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