Bioinformatics Analysis to Uncover the Potential Drug Targets Responsible for Mycobacterium tuberculosis Peptidoglycan and Lysine Biosynthesis.

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS Bioinformatics and Biology Insights Pub Date : 2023-01-01 DOI:10.1177/11779322231171774
Dian Ayu Eka Pitaloka, Afifah Izzati, Siti Rafa Amirah, Luqman Abdan Syakuran, Lalu Muhammad Irham, Athika Darumas Putri, Wirawan Adikusuma
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Abstract

Drug-resistant tuberculosis (TB), which results mainly from the selection of naturally resistant strains of Mycobacterium tuberculosis (MTB) due to mismanaged treatment, poses a severe challenge to the global control of TB. Therefore, screening novel and unique drug targets against this pathogen is urgently needed. The metabolic pathways of Homo sapiens and MTB were compared using the Kyoto Encyclopedia of Genes and Genomes tool, and further, the proteins that are involved in the metabolic pathways of MTB were subtracted and proceeded to protein-protein interaction network analysis, subcellular localization, drug ability testing, and gene ontology. The study aims to identify enzymes for the unique pathways for further screening to determine the feasibility of the therapeutic targets. The qualitative characteristics of 28 proteins identified as drug target candidates were studied. The results showed that 12 were cytoplasmic, 2 were extracellular, 12 were transmembrane, and 3 were unknown. Furthermore, druggability analysis revealed 14 druggable proteins, of which 12 were novel and responsible for MTB peptidoglycan and lysine biosynthesis. The novel targets obtained in this study are used to develop antimicrobial treatments against pathogenic bacteria. Future studies should further shed light on the clinical implementation to identify antimicrobial therapies against MTB.

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揭示结核分枝杆菌肽聚糖和赖氨酸生物合成的潜在药物靶点的生物信息学分析。
耐药结核病(TB)主要是由于治疗不当导致结核分枝杆菌(MTB)自然耐药菌株的产生,对全球结核病控制构成严重挑战。因此,迫切需要筛选新的和独特的药物靶点来对抗这种病原体。利用《京都基因与基因组百科全书》(Kyoto Encyclopedia of Genes and Genomes)工具对智人与结核分枝杆菌(MTB)的代谢途径进行比较,并对参与结核分枝杆菌(MTB)代谢途径的蛋白进行减除,进行蛋白-蛋白相互作用网络分析、亚细胞定位、药物能力测试和基因本体分析。该研究旨在确定酶的独特途径,以进一步筛选以确定治疗靶点的可行性。研究了28种候选药物蛋白的质量特性。结果表明,胞质内12个,胞外2个,跨膜12个,未知3个。此外,药物性分析发现14个可药物蛋白,其中12个是新的,负责MTB肽聚糖和赖氨酸的生物合成。本研究获得的新靶点可用于开发针对致病菌的抗菌治疗方法。未来的研究应进一步阐明临床实施,以确定抗结核药物治疗。
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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
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.
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