Targeting bacterial transcription factors for infection control: opportunities and challenges.

IF 3.6 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Transcription-Austin Pub Date : 2023-12-21 DOI:10.1080/21541264.2023.2293523
Ahmed Al-Tohamy, Anne Grove
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Abstract

The rising threat of antibiotic resistance in pathogenic bacteria emphasizes the need for new therapeutic strategies. This review focuses on bacterial transcription factors (TFs), which play crucial roles in bacterial pathogenesis. We discuss the regulatory roles of these factors through examples, and we outline potential therapeutic strategies targeting bacterial TFs. Specifically, we discuss the use of small molecules to interfere with TF function and the development of transcription factor decoys, oligonucleotides that compete with promoters for TF binding. We also cover peptides that target the interaction between the bacterial TF and other factors, such as RNA polymerase, and the targeting of sigma factors. These strategies, while promising, come with challenges, from identifying targets to designing interventions, managing side effects, and accounting for changing bacterial resistance patterns. We also delve into how Artificial Intelligence contributes to these efforts and how it may be exploited in the future, and we touch on the roles of multidisciplinary collaboration and policy to advance this research domain.Abbreviations: AI, artificial intelligence; CNN, convolutional neural networks; DTI: drug-target interaction; HTH, helix-turn-helix; IHF, integration host factor; LTTRs, LysR-type transcriptional regulators; MarR, multiple antibiotic resistance regulator; MRSA, methicillin resistant Staphylococcus aureus; MSA: multiple sequence alignment; NAP, nucleoid-associated protein; PROTACs, proteolysis targeting chimeras; RNAP, RNA polymerase; TF, transcription factor; TFD, transcription factor decoying; TFTRs, TetR-family transcriptional regulators; wHTH, winged helix-turn-helix.

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针对细菌转录因子进行感染控制:机遇与挑战。
病原菌对抗生素的耐药性威胁日益严重,这凸显了对新治疗策略的需求。本综述重点探讨细菌转录因子(TFs),它们在细菌致病过程中发挥着至关重要的作用。我们通过实例讨论了这些因子的调控作用,并概述了针对细菌转录因子的潜在治疗策略。具体来说,我们讨论了使用小分子干扰 TF 功能以及开发转录因子诱饵(与启动子竞争 TF 结合的寡核苷酸)的问题。我们还讨论了针对细菌 TF 与其他因子(如 RNA 聚合酶)之间相互作用的肽,以及针对 sigma 因子的研究。这些策略虽然前景广阔,但也面临着各种挑战,包括确定靶点、设计干预措施、控制副作用以及考虑不断变化的细菌抗药性模式。我们还深入探讨了人工智能对这些工作的贡献以及未来可能的利用方式,并探讨了多学科合作和政策在推进这一研究领域中的作用:缩写:AI,人工智能;CNN,卷积神经网络;DTI,药物-靶标相互作用;HTH,螺旋-翻转-螺旋;IHF,整合宿主因子;LTTRs,LysR 型转录调节因子;MarR,多重抗生素耐药性调节因子;MRSA,耐甲氧西林金黄色葡萄球菌;MSA:MSA:多重序列比对;NAP:核糖体相关蛋白;PROTACs:蛋白水解靶向嵌合体;RNAP:RNA 聚合酶;TF:转录因子;TFD:转录因子诱导;TFTRs:TetR-家族转录调节因子;wHTH:翼螺旋-转螺旋。
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来源期刊
Transcription-Austin
Transcription-Austin BIOCHEMISTRY & MOLECULAR BIOLOGY-
CiteScore
6.50
自引率
5.60%
发文量
9
期刊最新文献
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