Protein–protein interaction network and potential drug target candidates ofStreptococcus suis

猪链球菌 蛋白质组 计算生物学 金融时报 子网 生物 交互网络 药物靶点 药品 蛋白质超家族 药物发现 细菌蛋白 细菌 生物化学 遗传学 基因 计算机科学 计算机安全 药理学 毒力
作者
Meifang Tan,Guorong Zou,Yanling Wei,Wei Liu,Haizhan Li,Qinxue Hu,Lida Zhang,Rui Zhou
出处
期刊:Journal of Applied Microbiology [Oxford University Press]
卷期号:131 (2): 658-670 被引量:4
标识
DOI:10.1111/jam.14950
摘要

Aims This study aimed to explore potential drug targets of Streptococcus suis at the system level. Methods and Results A homologous protein mapping method was used in the construction of a protein–protein interaction (PPI) network of S. suis, which presented 1147 non-redundant interaction pairs among 286 proteins. The parameters of PPI networks were calculated and showed scale-free network properties. In all, 41 possibly essential proteins identified from 47 highly connected proteins were selected as potential drug target candidates. Of these proteins, 30 were already regarded as drug targets in other bacterial species. Six transporters with high connections to other functional proteins were identified as probably not essential but important functional proteins. Afterward, the subnetwork centred with cell division protein FtsZ was used in confirming the PPI network through bacterial two-hybrid analysis. Conclusions The predicted PPI network covers 13·04% of the proteome in S. suis. The selected 41 potential drug target candidates are conserved between S. suis and several model bacteria. Significance and Impact of the Study The predictions included proteins known to be drug targets, and a verifying experiment confirmed the reliability of predicted interactions. This work is the first to present systematic computational PPI data for S. suis and provides potential drug targets, which are valuable in exploring novel anti-streptococcus drugs.
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