Identification of small covalent inhibitors targeting DsbA using virtual screening, covalent docking, and molecular dynamics simulations.

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Yuxiang Ren, Yuqiao Xin, Rongxi Zhu, Yang Zhang, Linjie Han, Yongshan Zhao
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引用次数: 0

Abstract

Antimicrobial resistance (AMR) is a growing global health threat, highlighting the urgent need for new therapeutic strategies. The development of bacterial antivirulence agents and antibiotic adjuvants offers two promising strategies for combating bacterial infections. The DsbA protein is crucial for bacterial virulence and resistance, catalyzing the formation of disulfide bonds in bacterial proteins, making it an attractive target for novel antibiotics. In this study, we employed virtual screening, covalent docking, and molecular dynamics simulations to screen a library of 69,579 compounds for inhibitors targeting Cys30, a key nucleophilic residue in the CXXC catalytic motif of DsbA. We identified four small molecule covalent inhibitors that form covalent bonds with DsbA. The MM/PBSA results indicate that three covalent compounds (Cov28322, Cov16876, and Cov64052) have lower binding energies than the positive control. However, covalent binding typically offers superior target specificity and durability. These inhibitors primarily interact with key regions of DsbA, including the CXXC motif and L2 loop, suggesting their potential to disrupt DsbA's catalytic activity. This study provides a theoretical basis for designing DsbA covalent inhibitors as antibiotic adjuvants, presenting a promising strategy to combat bacterial infections and AMR.

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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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