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用于鉴定药物靶点的蛋白质组消减方法:对多药耐药相关假设蛋白的分析

Subtractive Proteomic Approaches to Identify Drug Targets: An Analysis on Hypothetical Proteins of Multidrug-Resistant .

作者信息

Kushwaha Neelam, Nandi Deepak, Singh Balvinder

机构信息

Bioinformatics Center, CSIR-Institute of Microbial Technology, Chandigarh 160036, India.

Academy of Scientific & Innovative Research, Ghaziabad, Uttar Pradesh 201002, India.

出版信息

ACS Omega. 2025 Aug 14;10(33):37188-37200. doi: 10.1021/acsomega.5c02268. eCollection 2025 Aug 26.

Abstract

is a Gram-negative pathogen responsible for nosocomial infections. The exploration of novel therapeutic targets within its proteome is essential for developing successful therapies for combating infections caused by this organism. Employing in silico approaches, this study aims to identify drug targets from hypothetical proteins of . These proteins were extracted from complete proteomes of 351 strains of after removing duplicates and taxonomically misclassified strains. The essentiality analysis revealed the presence of 1923 essential hypothetical proteins (EHPs) in these strains. These proteins were characterized based on physicochemical properties, subcellular locations, antimicrobial resistance, virulence and druggability. The domain analysis and functional annotation classified these as enzymes, transporters, and secretion proteins. Among these annotated proteins, 149 EHPs were found to be virulent proteins. The majority of these proteins are found to be involved in antibiotic inactivation and antibiotic efflux pumps. One hypothetical protein was characterized as a small multidrug resistance (SMR) efflux pump protein. Sixty-one EHPs were identified as potential drug targets, and 33 among these were identified in 15 different strains. The network analysis on these targets revealed a hub protein cobH, along with small clusters and singletons. These drug targets can be identified and validated experimentally before exploiting them in development of drugs against .

摘要

是一种导致医院感染的革兰氏阴性病原体。在其蛋白质组中探索新的治疗靶点对于开发成功对抗该病原体引起的感染的疗法至关重要。本研究采用计算机方法,旨在从的假设蛋白中鉴定药物靶点。这些蛋白是从351株的完整蛋白质组中提取的,去除了重复菌株和分类错误的菌株。必需性分析表明这些菌株中存在1923个必需假设蛋白(EHP)。这些蛋白根据物理化学性质、亚细胞定位、抗菌抗性、毒力和药物可及性进行了表征。结构域分析和功能注释将这些蛋白分类为酶、转运蛋白和分泌蛋白。在这些注释蛋白中,发现149个EHP是毒力蛋白。这些蛋白中的大多数被发现参与抗生素失活和抗生素外排泵。一种假设蛋白被表征为一种小多重耐药(SMR)外排泵蛋白。61个EHP被鉴定为潜在药物靶点,其中33个在15种不同菌株中被鉴定。对这些靶点的网络分析揭示了一个枢纽蛋白cobH,以及小簇和单例。这些药物靶点可以在用于开发抗的药物之前通过实验进行鉴定和验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/550d/12392004/2c7e02e021b4/ao5c02268_0001.jpg

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