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多尺度计算建模以识别新型化学支架作为海藻糖-6-磷酸磷酸酶抑制剂来对抗…… (原文此处不完整)

Multi-scale computational modeling to identify novel chemical scaffolds as trehalose-6-phosphate phosphatase inhibitors to combat .

作者信息

Noor Sara, Aljasir Mohammad Abdullah, Bashir Maryam, Khan Kalsoom, Ahmad Sajjad, Abideen Syed Ainul, Khan Saifullah, Siddique Farhan, Ahmad Hamza, Ghani Khudija, Iqbal Madiha, Irfan Muhammad, Khan Abbas, Wei Dong-Qing

机构信息

Department of Health and Biological Sciences, Abasyn University, Peshawar, 25000 Pakistan.

Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia.

出版信息

In Silico Pharmacol. 2025 Feb 1;13(1):21. doi: 10.1007/s40203-025-00309-5. eCollection 2025.

Abstract

UNLABELLED

causes melioidosis, a deadly infection having high fatality rates (20-50%) and antibiotic resistance, however, there's no effective drug or vaccine available. Trehalose is a vital sugar for which influences the pathogen resilience and pathogenicity. This proposed computational strategy focuses on developing novel drugs against Trehalose-6-phosphate Phosphatase (TPP) to combat infections. This study found three novel drugs from Asinex, Zinc, Chembridge, and Drugbank databases through a comprehensive structure-based virtual screening. The process screened the top three compounds: BDG_34042863, BDF_33738612, and DB00139 along with control (2-methyl-6-phenoxytetrahydro-2 H-pyran-3,4,5-triol) with a binding energy score of -8.8 kcal/mol, -8.4 kcal/mol, and - 7.7 kcal/mol, -6.4 kcal/mol respectively. In a molecular dynamics simulation, the Ligand-protein complexes demonstrated substantial non-covalent interactions as well as a stable docked intermolecular binding conformation. Throughout the MDS (molecular dynamic simulation) period, the studied compounds showed stable consistent interactions; there were no noticeable changes in the interactions or binding mode. The BDG_34042863, BDF_33738612, and DB00139 had a mean deviation of 4.04, 7.18, and 7.10 measured in Å, respectively. In addition, the simulation trajectories of complexes underwent MM/GBSA analysis, which revealed binding affinity scores of -33.39, -41.1, -49.16, and - 41.29 measured in kcal/mol for the control, BDG_34042863, BDF_33738612, and DB00139, respectively. According to DFT Analysis, BDF_33738612 showed the smallest energy gap (0.46 eV), indicating high reactivity, while DB00139 showed the largest energy gap (5.66 eV), illustrating good kinetic stability compared to the control. The compounds exhibit notable differences in reactivity and stability levels as their HOMO-1 to LUMO + 1 and HOMO-2 to LUMO + 2 orbitals have greater energy gaps, ranging from 5.06 eV to 6.69 eV and 5.66 eV to 7.09 eV, respectively. The compounds also had favorable pharmacokinetic characteristics and were categorized as druglike. Among the selected compounds, BDF_33738612 demonstrated the most promising findings followed by BDG_34042863 and DB00139. The compounds may be employed in an experimental study to examine their anti-TPP activity against .

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s40203-025-00309-5.

摘要

未标注

引发类鼻疽,这是一种致死率很高(20 - 50%)且具有抗生素耐药性的致命感染,但目前没有有效的药物或疫苗。海藻糖是一种重要的糖类,它会影响病原体的恢复力和致病性。这种提出的计算策略专注于开发针对海藻糖 - 6 - 磷酸磷酸酶(TPP)的新型药物以对抗感染。本研究通过全面的基于结构的虚拟筛选,从Asinex、Zinc、Chembridge和Drugbank数据库中发现了三种新型药物。该过程筛选出了排名前三的化合物:BDG_34042863、BDF_33738612和DB00139,以及对照物(2 - 甲基 - 6 - 苯氧基四氢 - 2H - 吡喃 - 3,4,5 - 三醇),其结合能得分分别为 - 8.8千卡/摩尔、 - 8.4千卡/摩尔、 - 7.7千卡/摩尔和 - 6.4千卡/摩尔。在分子动力学模拟中,配体 - 蛋白质复合物表现出大量的非共价相互作用以及稳定的对接分子间结合构象。在整个分子动力学模拟期间,所研究的化合物表现出稳定一致的相互作用;相互作用或结合模式没有明显变化。BDG_34042863、BDF_33738612和DB00139的平均偏差分别为4.04埃、7.18埃和7.10埃。此外,对复合物的模拟轨迹进行了MM/GBSA分析,结果显示对照物、BDG_34042863、BDF_33738612和DB00139的结合亲和力得分分别为 - 33.39千卡/摩尔、 - 41.1千卡/摩尔和 - 49.16千卡/摩尔、 - 41.29千卡/摩尔。根据密度泛函理论分析,BDF_33738612显示出最小的能隙(0.46电子伏特),表明其具有高反应活性,而DB00139显示出最大的能隙(5.66电子伏特),说明与对照物相比其具有良好的动力学稳定性。这些化合物在反应活性和稳定性水平上表现出显著差异,因为它们的HOMO - 1到LUMO + 1以及HOMO - 2到LUMO + 2轨道具有更大的能隙,分别在5.06电子伏特到6.69电子伏特和5.66电子伏特到7.09电子伏特之间。这些化合物还具有良好的药代动力学特性,并且被归类为类药物。在所选化合物中,BDF_33738612表现出最有前景的结果,其次是BDG_34042863和DB00139。这些化合物可用于实验研究,以检测它们对……的抗TPP活性。

补充信息

在线版本包含可在10.1007/s40203 - 025 - 00309 - 5获取补充材料。

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