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通过基于结构的虚拟筛选和分子动力学模拟鉴定S-腺苷-L-高半胱氨酸水解酶的新型抑制剂

Identification of novel inhibitors of S-adenosyl-L-homocysteine hydrolase via structure-based virtual screening and molecular dynamics simulations.

作者信息

Chen Cong, Zhou Xiang-Hui, Cheng Wa, Peng Yan-Fen, Yu Qi-Ming, Tan Xiang-Duan

机构信息

College of Pharmacy, Guilin Medical University, Guilin, 541199, China.

出版信息

J Mol Model. 2022 Sep 30;28(10):336. doi: 10.1007/s00894-022-05298-2.

DOI:10.1007/s00894-022-05298-2
PMID:36180796
Abstract

S-adenosyl-L-homocysteine hydrolase (SAHase) is an important regulator in the methylation reactions in many organisms and thus is crucial for numerous cellular functions. In recent years, SAHase has become one of the popular targets for drug design, and SAHase inhibitors have exhibited potent antiviral activity. In this study, we established the complex-based pharmacophore models based on the known crystal complex of SAHase (PDB ID: 1A7A) to screen the drug-likeness compounds of ChEMBL database. Then, three molecular docking programs were used to validate the reliability of compounds, involving Libdock, CDOCKER, and AutoDock Vina programs. The four promising hit compounds (CHEMBL420751, CHEMBL346387, CHEMBL1569958, and CHEMBL4206648) were performed molecular dynamics simulations and MM-PBSA calculations to evaluate their stability and binding-free energy in the binding site of SAHase. After screening and analyzing, the hit compounds CHEMBL420751 and CHEMBL346387 were suggested to further research to obtain novel potential SAHase inhibitors. A series of computer-aided drug design methods, including pharmacophore, molecular docking, molecular dynamics simulation and MM-PBSA calculations, were employed in this study to identity novel inhibitors of S-adenosyl-L-homocysteine hydrolase (SAHase). Some compounds from virtual screening could form various interactions with key residues of SAHase. Among them, compounds CHEMBL346387 and CHEMBL420751 exhibited potent binding affinity from molecular docking and MM-PBSA, and maintained good stability at the binding site during molecular dynamics simulations as well. All these results indicated that the selected compounds might have the potential to be novel SAHase inhibitors.

摘要

S-腺苷-L-高半胱氨酸水解酶(SAHase)是许多生物体甲基化反应中的重要调节因子,因此对众多细胞功能至关重要。近年来,SAHase已成为药物设计的热门靶点之一,SAHase抑制剂已表现出强大的抗病毒活性。在本研究中,我们基于SAHase的已知晶体复合物(PDB ID:1A7A)建立了基于复合物的药效团模型,以筛选ChEMBL数据库中类药物化合物。然后,使用三个分子对接程序来验证化合物的可靠性,包括Libdock、CDOCKER和AutoDock Vina程序。对四个有前景的命中化合物(CHEMBL420751、CHEMBL346387、CHEMBL1569958和CHEMBL4206648)进行了分子动力学模拟和MM-PBSA计算,以评估它们在SAHase结合位点的稳定性和结合自由能。经过筛选和分析,建议对命中化合物CHEMBL420751和CHEMBL346387进行进一步研究,以获得新型潜在的SAHase抑制剂。本研究采用了一系列计算机辅助药物设计方法,包括药效团、分子对接、分子动力学模拟和MM-PBSA计算,以鉴定S-腺苷-L-高半胱氨酸水解酶(SAHase)的新型抑制剂。虚拟筛选得到的一些化合物可与SAHase的关键残基形成各种相互作用。其中,化合物CHEMBL346387和CHEMBL420751在分子对接和MM-PBSA中表现出强大的结合亲和力,并且在分子动力学模拟过程中在结合位点也保持了良好的稳定性。所有这些结果表明,所选化合物可能有潜力成为新型SAHase抑制剂。

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