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计算机筛选靶向变异链球菌表面蛋白 A 转肽酶的潜在抑制剂

In silico identification of potential inhibitors targeting Streptococcus mutans sortase A.

机构信息

School of Life Sciences and Key Laboratory of Ministry of Education for Bio-Resources and Bio-Environment, Sichuan University, Chengdu, China.

State Key Laboratory of Biotherapy/Collaborative Innovation Centre for Biotherapy, West China Hospital, Sichuan University, Chengdu, China.

出版信息

Int J Oral Sci. 2017 Mar;9(1):53-62. doi: 10.1038/ijos.2016.58.

Abstract

Dental caries is one of the most common chronic diseases and is caused by acid fermentation of bacteria adhered to the teeth. Streptococcus mutans (S. mutans) utilizes sortase A (SrtA) to anchor surface proteins to the cell wall and forms a biofilm to facilitate its adhesion to the tooth surface. Some plant natural products, especially several flavonoids, are effective inhibitors of SrtA. However, given the limited number of inhibitors and the development of drug resistance, the discovery of new inhibitors is urgent. Here, the high-throughput virtual screening approach was performed to identify new potential inhibitors of S. mutans SrtA. Two libraries were used for screening, and nine compounds that had the lowest scores were chosen for further molecular dynamics simulation, binding free energy analysis and absorption, distribution, metabolism, excretion and toxicity (ADMET) properties analysis. The results revealed that several similar compounds composed of benzofuran, thiadiazole and pyrrole, which exhibited good affinities and appropriate pharmacokinetic parameters, were potential inhibitors to impede the catalysis of SrtA. In addition, the carbonyl of these compounds can have a key role in the inhibition mechanism. These findings can provide a new strategy for microbial infection disease therapy.

摘要

龋齿是最常见的慢性疾病之一,是由附着在牙齿上的细菌酸发酵引起的。变形链球菌(S. mutans)利用 sortase A(SrtA)将表面蛋白锚定在细胞壁上,并形成生物膜,以促进其与牙齿表面的黏附。一些植物天然产物,特别是几种类黄酮,是 SrtA 的有效抑制剂。然而,由于抑制剂数量有限且出现了耐药性,因此迫切需要发现新的抑制剂。在这里,采用高通量虚拟筛选方法来鉴定变形链球菌 SrtA 的新潜在抑制剂。使用了两个库进行筛选,选择了得分最低的 9 种化合物进行进一步的分子动力学模拟、结合自由能分析和吸收、分布、代谢、排泄和毒性(ADMET)特性分析。结果表明,由苯并呋喃、噻二唑和吡咯组成的几种类似化合物具有良好的亲和力和适当的药代动力学参数,可能是阻碍 SrtA 催化的潜在抑制剂。此外,这些化合物的羰基在抑制机制中可能起关键作用。这些发现可为微生物感染性疾病的治疗提供新策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae0c/5379162/533f6e9aefb5/ijos201658f1.jpg

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