In silico identification and in vitro evaluation of a protein-protein interaction inhibitor of Escherichia coli fatty acid biosynthesis

被引:0
|
作者
Charov, Katherine [1 ]
Burkart, Michael D. [1 ]
机构
[1] Univ Calif San Diego, Dept Chem & Biochem, 9500 Gilman Dr, La Jolla, CA 92093 USA
基金
美国国家科学基金会;
关键词
antibiotic drug discovery; fatty acid biosynthesis; protein-protein interaction; ACYL CARRIER PROTEIN; SLIDING CLAMP; COMPLEX; MECHANISM; DISCOVERY; RESIDUES; DESIGN;
D O I
10.1111/cbdd.13851
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
To combat the rise in antibiotic resistance, new targets must be identified and probes against them developed. Protein-protein interactions (PPI) of bacterial type II fatty acid biosynthesis (FAS-II) represent an untapped, yet rich area for new antibiotic discovery. Here, we present a computational and in vitro workflow for the discovery of new inhibitors of PPI in Escherichia coli FAS-II. As part of this study, we identified suramin, an existing treatment for African sleeping sickness, to effectively block the interaction of E. coli dehydratase FabA and the acyl carrier protein EcACP, with an IC50 = 85 mu M. This finding validates a workflow that combines in silico screening with in vitro PPI assays to identify probes appropriate for further optimization.
引用
收藏
页码:94 / 101
页数:8
相关论文
共 50 条
  • [41] In Silico Protein-Protein Interaction Prediction with Sequence Alignment and Classifier Stacking
    Marini, Simone
    Xu, Qian
    Yang, Qiang
    CURRENT PROTEIN & PEPTIDE SCIENCE, 2011, 12 (07) : 614 - 620
  • [42] Biosynthesis of butenoic acid through fatty acid biosynthesis pathway in Escherichia coli
    Liu, Xiping
    Yu, Haiying
    Jiang, Xu
    Ai, Guomin
    Yu, Bo
    Zhu, Kun
    APPLIED MICROBIOLOGY AND BIOTECHNOLOGY, 2015, 99 (04) : 1795 - 1804
  • [43] Monitoring Protein-Protein, Protein-DNA, and Protein-Ligand Interactions In Silico and In Vitro
    Tasic, Ljubica
    CURRENT PROTEIN & PEPTIDE SCIENCE, 2015, 16 (08) : 688 - 688
  • [44] Protein-protein interaction identification using a hybrid model
    Niu, Yun
    Wang, Yuwei
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 2015, 64 (03) : 185 - 193
  • [45] Regulation of fatty acid biosynthesis and degradation in Escherichia coli
    Marrakchi, H
    Patel, D
    Rock, C
    FASEB JOURNAL, 2001, 15 (04): : A192 - A192
  • [46] Identification of protein-protein interaction bridges for multiple sclerosis
    Yazici, Gozde
    Vatandaslar, Burcu Kurt
    Canturk, Ilknur Aydin
    Aydinli, Fatmagul, I
    Duz, Ozge Arici
    Karakoc, Emre
    Kerman, Bilal E.
    Alkan, Can
    BIOINFORMATICS, 2023, 39 (04)
  • [47] A lanthipeptide library used to identify a protein-protein interaction inhibitor
    Yang, Xiao
    Lennard, Katherine R.
    He, Chang
    Walker, Mark C.
    Ball, Andrew T.
    Doigneaux, Cyrielle
    Tavassoli, Ali
    van der Donk, Wilfred A.
    NATURE CHEMICAL BIOLOGY, 2018, 14 (04) : 375 - +
  • [48] Query-guided protein-protein interaction inhibitor discovery
    Celis, Sergio
    Hobor, Fruzsina
    James, Thomas
    Bartlett, Gail J.
    Ibarra, Amaurys A.
    Shoemark, Deborah K.
    Hegedus, Zsofia
    Hetherington, Kristina
    Woolfson, Derek N.
    Sessions, Richard B.
    Edwards, Thomas A.
    Andrews, David M.
    Nelson, Adam
    Wilson, Andrew J.
    CHEMICAL SCIENCE, 2021, 12 (13) : 4753 - 4762
  • [49] ANTIFUNGALS Protein-protein interaction inhibitor tackles drug resistance
    Kingwell, Katie
    NATURE REVIEWS DRUG DISCOVERY, 2016, 15 (04) : 232 - 232
  • [50] The food colorant erythrosine is a promiscuous protein-protein interaction inhibitor
    Ganesan, Lakshmi
    Margolles-Clark, Emilio
    Song, Yun
    Buchwald, Peter
    BIOCHEMICAL PHARMACOLOGY, 2011, 81 (06) : 810 - 818