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从微生物天然产物中鉴定细菌寡肽酶B抑制剂:分子见解、对接研究、分子动力学模拟和ADMET预测

Identification of Bacterial Oligopeptidase B Inhibitors from Microbial Natural Products: Molecular Insights, Docking Studies, MD Simulations, and ADMET Predictions.

作者信息

Mohamed Malik Suliman, Elsaman Tilal, Mohamed Magdi Awadalla, Eltayib Eyman Mohamed, Abdalla Abualgasim Elgaili, Idriss Mona Timan

机构信息

Department of Pharmaceutics, College of Pharmacy, Jouf University, Sakaka 72388, Saudi Arabia.

Department of Pharmaceutical Chemistry, College of Pharmacy, Jouf University, Sakaka 72388, Saudi Arabia.

出版信息

Pharmaceuticals (Basel). 2025 May 11;18(5):709. doi: 10.3390/ph18050709.

Abstract

The increasing threat of antibiotic resistance and the declining efficiency of traditional drug discovery pipelines highlight the urgent need for novel drug targets and effective enzyme inhibitors against infectious diseases. Oligopeptidase B (OPB), a serine protease with trypsin-like specificity that processes low-molecular-weight peptides and oligopeptides, is present in bacteria and certain parasites but absent in mammals. This unique distribution makes OPB an attractive and selective target for antimicrobial drug development. Three-dimensional models of OPB from and , previously identified by our research group, were constructed via homology modeling using the best available OPB template from the RCSB Protein Data Bank. The OPB model was subjected to high-throughput virtual screening (HTVS) against the Natural Products Atlas (npatlas) database. Top-ranking compounds were further evaluated using Glide standard precision (SP) and extra precision (XP) docking protocols. Binding affinities were refined using molecular mechanics with generalized born and surface area (MM-GBSA) calculations. Molecular dynamics (MD) simulations assessed binding stability, while absorption distribution metabolism excretion and toxicity (ADMET) profiling evaluated drug-likeness and pharmacokinetic properties. Ten natural product compounds demonstrated stronger binding affinities than antipain, a well-known oligopeptide-based protease inhibitor, as indicated by their more favorable MM-GBSA scores of -60.90 kcal/mol () and -27.07 kcal/mol (). Among these, dichrysobactin and validamycin E consistently exhibited favorable binding profiles across both OPB models. MD simulations confirmed the stability of their interactions with OPB active sites, maintaining favorable binding conformations throughout the simulation period. ADMET analysis suggested that while both compounds show promise, lead optimization is required to enhance their drug-like characteristics. This study identifies dichrysobactin and validamycin E as promising OPB inhibitors with potential antimicrobial activity. These findings support their further development as selective and potent agents against bacterial pathogens, including resistant strains, and underscore the need for experimental validation to confirm their efficacy and safety.

摘要

抗生素耐药性的威胁日益增加,传统药物研发流程的效率不断下降,这凸显了针对传染病的新型药物靶点和有效酶抑制剂的迫切需求。寡肽酶B(OPB)是一种具有胰蛋白酶样特异性的丝氨酸蛋白酶,可处理低分子量肽和寡肽,存在于细菌和某些寄生虫中,但在哺乳动物中不存在。这种独特的分布使OPB成为抗菌药物开发的一个有吸引力的选择性靶点。我们研究小组先前鉴定的来自[具体来源1]和[具体来源2]的OPB三维模型,通过使用RCSB蛋白质数据库中最佳可用的OPB模板进行同源建模构建。该OPB模型针对天然产物图谱(npatlas)数据库进行了高通量虚拟筛选(HTVS)。排名靠前的化合物使用Glide标准精度(SP)和超精度(XP)对接协议进行进一步评估。结合亲和力使用广义玻恩和表面积分子力学(MM-GBSA)计算进行优化。分子动力学(MD)模拟评估结合稳定性,而吸收、分布、代谢、排泄和毒性(ADMET)分析评估药物相似性和药代动力学性质。十种天然产物化合物表现出比抗痛素更强的结合亲和力,抗痛素是一种著名的基于寡肽的蛋白酶抑制剂,其更有利的MM-GBSA分数为-60.90千卡/摩尔([具体化合物1])和-27.07千卡/摩尔([具体化合物2])表明了这一点。其中,二金霉素和井冈霉素E在两个OPB模型中始终表现出良好的结合特征。MD模拟证实了它们与OPB活性位点相互作用的稳定性,在整个模拟期间保持了良好的结合构象。ADMET分析表明,虽然这两种化合物都有前景,但需要进行先导优化以增强它们的药物样特性。本研究确定二金霉素和井冈霉素E为有前景的OPB抑制剂,具有潜在的抗菌活性。这些发现支持将它们进一步开发为针对包括耐药菌株在内的细菌病原体的选择性和强效药物,并强调需要进行实验验证以确认它们的疗效和安全性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e526/12114661/630065b25a99/pharmaceuticals-18-00709-g013.jpg

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