{"title":"Identification of Putative Drug Targets in Highly Resistant Gram-Negative Bacteria; and Drug Discovery Against Glycyl-tRNA Synthetase as a New Target.","authors":"Sepideh Fereshteh, Narjes Noori Goodarzi, Hourieh Kalhor, Hamzeh Rahimi, Seyed Mahmoud Barzi, Farzad Badmasti","doi":"10.1177/11779322231152980","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Gram-negative bacterial infections are on the rise due to the high prevalence of multidrug-resistant bacteria, and efforts must be made to identify novel drug targets and then new antibiotics.</p><p><strong>Methods: </strong>In the upstream part, we retrieved the genome sequences of 4 highly resistant Gram-negative bacteria (e.g., <i>Acinetobacter baumannii, Klebsiella pneumoniae, Pseudomonas aeruginosa</i>, and <i>Enterobacter cloacae</i>). The core proteins were assessed to find common, cytoplasmic, and essential proteins with no similarity to the human proteome. Novel drug targets were identified using DrugBank, and their sequence conservancy was evaluated. Protein Data Bank files and STRING interaction networks were assessed. Finally, the aminoacylation cavity of glycyl-tRNA synthetase (GlyQ) was virtually screened to identify novel inhibitors using AutoDock Vina and the StreptomeDB library. Ligands with high binding affinity were clustered, and then the pharmacokinetics properties of therapeutic agents were investigated.</p><p><strong>Results: </strong>A total of 6 common proteins (e.g., RP-L28, RP-L30, RP-S20, RP-S21, Rnt, and GlyQ) were selected as novel and widespread drug targets against highly resistant Gram-negative superbugs based on different criteria. In the downstream analysis, virtual screening revealed that Rimocidin, Flavofungin, Chaxamycin, 11,11'-O-dimethyl-14'-deethyl-14'-methylelaiophylin, and Platensimycin were promising hit compounds against GlyQ protein. Finally, 11,11'-O-dimethyl-14'-deethyl-14'-methylelaiophylin was identified as the best potential inhibitor of GlyQ protein. This compound showed high absorption capacity in the human intestine.</p><p><strong>Conclusion: </strong>The results of this study provide 6 common putative new drug targets against 4 highly resistant and Gram-negative bacteria. Moreover, we presented 5 different hit compounds against GlyQ protein as a novel therapeutic target. However, further in vitro and in vivo studies are needed to explore the bactericidal effects of proposed hit compounds against these superbugs.</p>","PeriodicalId":9065,"journal":{"name":"Bioinformatics and Biology Insights","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/31/8e/10.1177_11779322231152980.PMC9926382.pdf","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioinformatics and Biology Insights","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/11779322231152980","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 1
Abstract
Background: Gram-negative bacterial infections are on the rise due to the high prevalence of multidrug-resistant bacteria, and efforts must be made to identify novel drug targets and then new antibiotics.
Methods: In the upstream part, we retrieved the genome sequences of 4 highly resistant Gram-negative bacteria (e.g., Acinetobacter baumannii, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Enterobacter cloacae). The core proteins were assessed to find common, cytoplasmic, and essential proteins with no similarity to the human proteome. Novel drug targets were identified using DrugBank, and their sequence conservancy was evaluated. Protein Data Bank files and STRING interaction networks were assessed. Finally, the aminoacylation cavity of glycyl-tRNA synthetase (GlyQ) was virtually screened to identify novel inhibitors using AutoDock Vina and the StreptomeDB library. Ligands with high binding affinity were clustered, and then the pharmacokinetics properties of therapeutic agents were investigated.
Results: A total of 6 common proteins (e.g., RP-L28, RP-L30, RP-S20, RP-S21, Rnt, and GlyQ) were selected as novel and widespread drug targets against highly resistant Gram-negative superbugs based on different criteria. In the downstream analysis, virtual screening revealed that Rimocidin, Flavofungin, Chaxamycin, 11,11'-O-dimethyl-14'-deethyl-14'-methylelaiophylin, and Platensimycin were promising hit compounds against GlyQ protein. Finally, 11,11'-O-dimethyl-14'-deethyl-14'-methylelaiophylin was identified as the best potential inhibitor of GlyQ protein. This compound showed high absorption capacity in the human intestine.
Conclusion: The results of this study provide 6 common putative new drug targets against 4 highly resistant and Gram-negative bacteria. Moreover, we presented 5 different hit compounds against GlyQ protein as a novel therapeutic target. However, further in vitro and in vivo studies are needed to explore the bactericidal effects of proposed hit compounds against these superbugs.
背景:由于多重耐药菌的高发,革兰氏阴性菌感染呈上升趋势,必须努力寻找新的药物靶点,然后开发新的抗生素。方法:上游部分检索4种高耐药革兰氏阴性菌(鲍曼不动杆菌、肺炎克雷伯菌、铜绿假单胞菌、阴沟肠杆菌)的基因组序列。对核心蛋白进行评估,发现与人类蛋白质组没有相似性的常见、细胞质和必需蛋白。利用DrugBank发现新的药物靶点,并对其序列保护进行评价。评估蛋白质数据库文件和STRING相互作用网络。最后,利用AutoDock Vina和StreptomeDB文库对glyyl - trna合成酶(GlyQ)的氨基酰化空腔进行虚拟筛选,以鉴定新的抑制剂。将具有高结合亲和力的配体聚集在一起,然后研究治疗剂的药代动力学特性。结果:根据不同标准,共筛选出6种常见蛋白(RP-L28、RP-L30、RP-S20、RP-S21、Rnt、GlyQ)作为抗高耐药革兰氏阴性超级细菌的新型广泛靶点。在下游分析中,虚拟筛选结果显示,环霉素、黄曲霉素、沙霉素、11,11′- o -二甲基-14′-去乙基-14′-甲基茶碱和铂霉素是GlyQ蛋白的潜在靶向化合物。最终,11,11'- o -二甲基-14'-去乙基-14'-甲基化茶碱被确定为GlyQ蛋白的最佳潜在抑制剂。这种化合物在人体肠道中具有很高的吸收能力。结论:本研究结果为抗4种高耐药革兰氏阴性菌提供了6个常见的推定新药靶点。此外,我们提出了5种不同的靶向GlyQ蛋白的化合物作为新的治疗靶点。然而,需要进一步的体外和体内研究来探索所提出的击中化合物对这些超级细菌的杀菌作用。
期刊介绍:
Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.