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利用计算方法鉴定新型小分子作为FoxM1和Hsp70双重抑制剂

Identification of new small molecules as dual FoxM1 and Hsp70 inhibitors using computational methods.

作者信息

Alimardan Zahra, Abbasi Maryam, Khodarahmi Ghadamali, Kashfi Khosrow, Hasanzadeh Farshid, Mahmud Aghaei

机构信息

Department of Medicinal Chemistry, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, I.R. Iran.

Isfahan Pharmaceutical Sciences Research Center, School of Pharmacy and Pharmaceutical Sciences, Isfahan University of Medical Sciences, Isfahan, I.R. Iran.

出版信息

Res Pharm Sci. 2022 Oct 29;17(6):635-656. doi: 10.4103/1735-5362.359431. eCollection 2022 Dec.

Abstract

BACKGROUND AND PURPOSE

FoxM1 and Hsp70 proteins are highly expressed in many cancers. Thus, their inhibition serves as Bonafede targets in cancer treatment.

EXPERIMENTAL APPROACH

FDI-6, an inhibitor of FoxM1, was selected as a template, and based on its structure, a new library from the ZINC database was obtained. Virtual screening was then performed using the created pharmacophore model. The second virtual screening phase was conducted with molecular docking to get the best inhibitor for both FoxM1 and Hsp70 active sites. , ADMET properties were also calculated. Finally, molecular dynamics simulation was performed on the best ligand, ZINC1152745, for both Hsp70 and FoxM1 proteins during 100 ns.

FINDINGS / RESULTS: The results of this study indicated that ZINC1152745 was stable in the active site of both proteins, Hsp70 and FoxM1. The final scaffold identified by the presented computational approach could offer a hit compound for designing promising anticancer agents targeting both FoxM1 and Hsp70.

CONCLUSION AND IMPLICATIONS

Molecular dynamics simulations were performed on ZINC1152745 targeting FoxM1 and Hsp70 active sites. The results of several hydrogen bonds, the radius of gyration, RMSF, RMSD, and free energy during the simulations showed good stability of ZINC1152745 with FoxM1 and Hsp70.

摘要

背景与目的

FoxM1和Hsp70蛋白在许多癌症中高表达。因此,对它们的抑制可作为癌症治疗中可靠的靶点。

实验方法

选择FoxM1抑制剂FDI-6作为模板,并基于其结构从ZINC数据库获得一个新的文库。然后使用创建的药效团模型进行虚拟筛选。第二阶段的虚拟筛选通过分子对接进行,以获得针对FoxM1和Hsp70活性位点的最佳抑制剂。还计算了ADMET性质。最后,对最佳配体ZINC1152745在100纳秒内对Hsp70和FoxM1蛋白进行分子动力学模拟。

研究结果

本研究结果表明,ZINC1152745在Hsp70和FoxM1这两种蛋白的活性位点均稳定。通过所提出的计算方法确定的最终骨架可为设计针对FoxM1和Hsp70的有前景的抗癌药物提供一个命中化合物。

结论与意义

对靶向FoxM1和Hsp70活性位点的ZINC1152745进行了分子动力学模拟。模拟过程中几个氢键、回转半径、均方根波动、均方根偏差和自由能的结果表明ZINC1152745与FoxM1和Hsp70具有良好的稳定性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7cc4/9872178/e31460b7ee3b/RPS-17-635-g001.jpg

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