Analysis of natural compounds identifies potential inhibitors for phosphoglucomutase of Acinetobacter baumannii: a computational approach.

In silico pharmacology Pub Date : 2025-05-12 eCollection Date: 2025-01-01 DOI:10.1007/s40203-025-00360-2
Aishwarya Swain, Archana Pan
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Abstract

Acinetobacter baumannii has become resistant to almost all available antibiotics in the market, emphasizing the need to develop novel antibiotics against this pathogen. The present study aims to identify potential inhibitors for phosphoglucomutase (Pgm) of A. baumannii by screening natural compounds. Pgm, a key enzyme involved in bacterial cell wall biosynthesis, is identified as a promising drug target. The study first employed various computational modeling tools to predict the structure of Pgm protein as its experimental structure was unavailable. After a thorough evaluation, the AlphaFold2 model (Rank 4) was chosen and energy-minimized for molecular docking study with its natural substrates, glucose-1-phosphate (G1P) and glucose-6-phosphate (G6P). Virtual screening of the natural compounds from LOTUS and CMNPD databases against Pgm identified top five compounds DMA, DPD, 2-DPD, HAP, and DTP, which exhibited better docking scores (- 8.287 kcal/mol, - 8.082 kcal/mol, - 8.082 kcal/mol, - 8.081 kcal/mol and - 7.97 kcal/mol) compared to the natural substrates G6P and G1P (- 6.225 kcal/mol, - 5.959 kcal/mol). The drug-likeness assessment of these compounds revealed that DPD had favorable pharmacokinetic profiles and was non-carcinogenic, non-irritating to the eyes, non-corrosive, and free of respiratory toxicity, representing it as a promising drug candidate. Molecular dynamics simulations and binding free energy calculations confirmed the stable interactions of DPD with Pgm, further supporting its potential as an inhibitor. Thus, the present study elucidated a natural compound as potential inhibitor against a vital protein Pgm. Further experimental studies can be carried out to understand its antibacterial properties for developing novel drugs against A. baumannii infections.

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-025-00360-2.

分析天然化合物确定潜在抑制剂的鲍曼不动杆菌磷酸葡萄糖糖脲酶:计算方法。
鲍曼不动杆菌已经对市场上几乎所有可用的抗生素产生耐药性,这强调了开发针对这种病原体的新型抗生素的必要性。本研究旨在通过筛选天然化合物,寻找鲍曼不动杆菌磷酸葡萄糖糖化酶(Pgm)的潜在抑制剂。Pgm是参与细菌细胞壁生物合成的关键酶,是一种很有前景的药物靶点。由于无法获得Pgm蛋白的实验结构,本研究首先利用各种计算建模工具对其结构进行预测。经过全面的评估,我们选择了AlphaFold2模型(Rank 4),并将其能量最小化,与天然底物葡萄糖-1-磷酸(G1P)和葡萄糖-6-磷酸(G6P)进行分子对接研究。从LOTUS和CMNPD数据库中对天然化合物与Pgm进行虚拟筛选,结果表明,与天然底物G6P和G1P (- 6.225 kcal/mol, - 5.959 kcal/mol)相比,天然底物DMA、DPD、2-DPD、HAP和DTP的对接得分最高,分别为- 8.287 kcal/mol、- 8.082 kcal/mol、- 8.082 kcal/mol、- 8.081 kcal/mol和- 7.97 kcal/mol。这些化合物的药物相似性评估显示,DPD具有良好的药代动力学特征,无致癌性,无眼睛刺激,无腐蚀性,无呼吸毒性,是一种有前途的候选药物。分子动力学模拟和结合自由能计算证实了DPD与Pgm的稳定相互作用,进一步支持了其作为抑制剂的潜力。因此,本研究阐明了一种天然化合物作为重要蛋白Pgm的潜在抑制剂。进一步的实验研究有助于开发抗鲍曼不动杆菌感染的新药。补充信息:在线版本包含补充资料,下载地址为10.1007/s40203-025-00360-2。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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