Identification of small-molecule inhibitors against SecA by structure-based virtual ligand screening

被引:11
|
作者
De Waelheyns, Evelien [1 ]
Segers, Kenneth [1 ]
Sardis, Marios Frantzeskos [1 ]
Anne, Jozef [1 ]
Nicolaes, Gerry A. F. [2 ]
Economou, Anastassios [1 ,3 ]
机构
[1] Katholieke Univ Leuven, Rega Inst Med Res, Dept Microbiol & Immunol, Lab Mol Bacteriol, B-3000 Louvain, Belgium
[2] Maastricht Univ, Dept Biochem, Cardiovasc Res Inst Maastricht, NL-6200 MD Maastricht, Netherlands
[3] Univ Crete, Dept Biol, Inst Mol Biol & Biotechnol FORTH, Iraklion, Crete, Greece
来源
JOURNAL OF ANTIBIOTICS | 2015年 / 68卷 / 11期
关键词
CANDIDATUS LIBERIBACTER ASIATICUS; BACTERIAL PROTEIN SECRETION; ESCHERICHIA-COLI; TRANSLOCATION; BINDING; ATPASE; DISCOVERY; DOMAIN; ANTIBIOTICS; RESISTANCE;
D O I
10.1038/ja.2015.53
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
The rapid rise of antibiotic-resistant bacteria is one of the major concerns in modern medicine. Therefore, to treat bacterial infections, there is an urgent need for new antibacterials-preferably directed against alternative bacterial targets. One such potential target is the preprotein translocation motor SecA. SecA is a peripheral membrane ATPase and a key component of the Sec secretion pathway, the major route for bacterial protein export across or into the cytoplasmic membrane. As SecA is essential for bacterial viability, ubiquitous and highly conserved in bacteria, but not present in eukaryotic cells, it represents an attractive antibacterial target. Using an in silico approach, we have defined several potentially druggable and conserved pockets on the surface of SecA. We show that three of these potentially druggable sites are important for SecA function. A starting collection of similar to 500 000 commercially available small-molecules was virtually screened against a predicted druggable pocket in the preprotein-binding domain of Escherichia coli SecA using a multi-step virtual ligand screening protocol. The 1040 top-scoring molecules were tested in vitro for inhibition of the translocation ATPase activity of E. coli SecA. Five inhibitors of the translocation ATPase, and not of basal or membrane ATPase, were identified with IC50 values <65 mu M. The most potent inhibitor showed an IC50 of 24 mu m. The antimicrobial activity was determined for the five most potent SecA inhibitors. Two compounds were found to possess weak antibacterial activity (IC50 similar to 198 mu M) against E. coli, whereas some compounds showed moderate antibacterial activity (IC50 similar to 100 mu m) against Staphylococcus aureus.
引用
收藏
页码:666 / 673
页数:8
相关论文
共 50 条
  • [1] Identification of small-molecule inhibitors against SecA by structure-based virtual ligand screening
    Evelien De Waelheyns
    Kenneth Segers
    Marios Frantzeskos Sardis
    Jozef Anné
    Gerry A F Nicolaes
    Anastassios Economou
    [J]. The Journal of Antibiotics, 2015, 68 : 666 - 673
  • [2] Structure-based virtual screening and biological evaluation of novel small-molecule BTK inhibitors
    Lin, Tony Eight
    Sung, Li-Chin
    Chao, Min-Wu
    Li, Min
    Zheng, Jia-Huei
    Sung, Tzu-Ying
    Hsieh, Jui-Hua
    Yang, Chia-Ron
    Lee, Hsueh-Yun
    Cho, Er-Chieh
    Hsu, Kai-Cheng
    [J]. JOURNAL OF ENZYME INHIBITION AND MEDICINAL CHEMISTRY, 2022, 37 (01) : 226 - 235
  • [3] Structure-Based Virtual Screening of Helicobacter pylori SecA Inhibitors
    Jian, Tiantian
    Su, Qing
    Liu, Yan
    Seoh, Hyuk-Kyu
    Houghton, John Edgar
    Tai, Phang-Cheng
    Huang, Xinhe
    [J]. IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2023, 22 (04) : 933 - 942
  • [4] Discovery of Novel Small-Molecule Inhibitors of BRD4 Using Structure-Based Virtual Screening
    Vidler, Lewis R.
    Filippakopoulos, Panagis
    Fedorov, Oleg
    Picaud, Sarah
    Martin, Sarah
    Tomsett, Michael
    Woodward, Hannah
    Brown, Nathan
    Knapp, Stefan
    Hoelder, Swen
    [J]. JOURNAL OF MEDICINAL CHEMISTRY, 2013, 56 (20) : 8073 - 8088
  • [5] Structure-based virtual screening identifies small-molecule inhibitors of O-fucosyltransferase SPINDLY in Arabidopsis
    Aizezi, Yalikunjiang
    Zhao, Hongming
    Zhang, Zhenzhen
    Bi, Yang
    Yang, Qiuhua
    Guo, Guangshuo
    Zhang, Hongliang
    Guo, Hongwei
    Jiang, Kai
    Wang, Zhi-Yong
    [J]. PLANT CELL, 2024, 36 (03): : 497 - 509
  • [6] Virtual Screening with a Structure-Based Pharmacophore Model to Identify Small-Molecule Inhibitors of CARM1
    Ran, Ting
    Li, Wenjuan
    Peng, Bingling
    Xie, Binglan
    Lu, Tao
    Lu, Shuai
    Liu, Wen
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2019, 59 (01) : 522 - 534
  • [7] Identification of Aurora-A Inhibitors by Ligand and Structure-Based Virtual Screening
    Morshed, Mohammad Neaz
    [J]. MOLECULAR INFORMATICS, 2014, 33 (05) : 369 - 381
  • [8] Identification of new GATA4-small molecule inhibitors by structure-based virtual screening
    El-Hachem, Nehme
    Nemer, Georges
    [J]. BIOORGANIC & MEDICINAL CHEMISTRY, 2011, 19 (05) : 1734 - 1742
  • [9] Discovery of the first SecA inhibitors using structure-based virtual screening
    Li, Minyong
    Huang, Ying-Ju
    Tai, Phang C.
    Wang, Binghe
    [J]. BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 2008, 368 (04) : 839 - 845
  • [10] IKKβ inhibitors identification part II: Ligand and structure-based virtual screening
    Nagarajan, Shanthi
    Choo, Hyunah
    Cho, Yong Seo
    Oh, Kwang-Seok
    Lee, Byung Ho
    Shin, Kye Jung
    Pae, Ae Nim
    [J]. BIOORGANIC & MEDICINAL CHEMISTRY, 2010, 18 (11) : 3951 - 3960