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关于……的基因组挖掘:通过表征和抑制剂筛选将SufD作为新型药物候选靶点

Genome mining of : targeting SufD as a novel drug candidate through characterization and inhibitor screening.

作者信息

Gorityala Neelima, Baidya Anthony Samit, Sagurthi Someswar R

机构信息

Department of Genetics and Biotechnology, Osmania University, Hyderabad, Telangana, India.

出版信息

Front Microbiol. 2024 Apr 15;15:1369645. doi: 10.3389/fmicb.2024.1369645. eCollection 2024.

Abstract

Tuberculosis (TB) stands as the second most fatal infectious disease globally, causing 1.3 million deaths in 2022. The resurgence of TB and the alarming rise of antibiotic resistance demand urgent call to develop novel antituberculosis drugs. Despite concerted efforts to control TB, the disease persists and spreads rapidly on a global scale. Targeting stress response pathways in has become imperative to achieve complete eradication. This study employs subtractive genomics to identify and prioritize potential drug targets among the hypothetical proteins of , focusing on indispensable pathways. Amongst 177 essential hypothetical proteins, 152 were nonhomologous to human. These proteins participated in 34 pathways, and a 20-fold enrichment of SUF pathway genes led to its selection as a target pathway. Fe-S clusters are fundamental, widely distributed protein cofactors involved in vital cellular processes. The survival of in a hypoxic environment relies on the iron-sulfur (Fe-S) cluster biogenesis pathway for the repair of damaged Fe-S clusters. It also protects pathogen against drugs, ensuring controlled iron utilization and contributing to drug resistance. In , six proteins of Fe-S cluster assembly pathway are encoded by the operon. The present study was focused on SufD because of its role in iron acquisition and prevention of Fenton reaction. The research further delves into the characterization of SufD, utilizing bioinformatics tools for sequence and structure based analysis. The protein's structural features, including the identification of conserved regions, motifs, and 3D structure prediction enhanced functional annotation. Target based virtual screening of compounds from the ChEMBL database resulted in 12 inhibitors with best binding affinities. Drug likeness and ADMET profiling of potential inhibitors identified promising compounds with favorable drug-like properties. The study also involved cloning in SUMO-pRSF-Duet1 expression vector, overexpression, and purification of recombinant SufD from BL21 (DE3) cells. Optimization of expression conditions resulted in soluble production, and subsequent purification highlighting the efficacy of the SUMO fusion system for challenging proteins in . These findings provide valuable insights into pharmacological targets for future experimental studies, holding promise for the development of targeted therapy against .

摘要

结核病(TB)是全球第二大致命传染病,2022年导致130万人死亡。结核病的死灰复燃以及抗生素耐药性的惊人上升迫切需要开发新型抗结核药物。尽管为控制结核病做出了共同努力,但该疾病在全球范围内仍然持续存在并迅速传播。针对[具体对象]中的应激反应途径已成为实现彻底根除的当务之急。本研究采用消减基因组学方法,在[具体对象]的假设蛋白质中识别并优先确定潜在的药物靶点,重点关注不可或缺的途径。在177种必需的假设蛋白质中,有152种与人类蛋白质不同源。这些蛋白质参与了34条途径,SUF途径基因的20倍富集导致其被选为目标途径。铁硫(Fe-S)簇是参与重要细胞过程的基本且广泛分布的蛋白质辅因子。[具体对象]在低氧环境中的存活依赖于铁硫簇生物合成途径来修复受损的铁硫簇。它还保护病原体免受药物影响,确保铁的可控利用并导致耐药性。在[具体对象]中,铁硫簇组装途径的六种蛋白质由[具体操纵子]编码。本研究聚焦于SufD,因为它在铁获取和防止芬顿反应中发挥作用。该研究进一步深入探讨SufD的[具体特征],利用生物信息学工具进行基于序列和结构的分析。蛋白质的结构特征,包括保守区域、基序的识别以及三维结构预测,增强了功能注释。基于靶点对ChEMBL数据库中的化合物进行虚拟筛选,得到了12种具有最佳结合亲和力的抑制剂。对潜在抑制剂的药物相似性和ADMET分析确定了具有良好药物样性质的有前景的化合物。该研究还涉及在SUMO-pRSF-Duet1表达载体中克隆、过表达以及从[具体菌株]BL21(DE3)细胞中纯化重组SufD。表达条件的优化导致了可溶性表达,随后的纯化突出了SUMO融合系统对[具体对象]中具有挑战性的蛋白质的有效性。这些发现为未来实验研究的药理学靶点提供了有价值的见解,有望开发出针对[具体对象]的靶向治疗方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffdc/11057465/db005a70cb83/fmicb-15-1369645-g001.jpg

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