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使用三维定量构效关系建模、分子对接和分子动力学方法对三种不同系列的化合物作为热休克蛋白90(Hsp90)抑制剂进行结构测定。

Structural determination of three different series of compounds as Hsp90 inhibitors using 3D-QSAR modeling, molecular docking and molecular dynamics methods.

作者信息

Liu Jianling, Wang Fangfang, Ma Zhi, Wang Xia, Wang Yonghua

机构信息

College of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China; E-Mails:

出版信息

Int J Mol Sci. 2011 Jan 30;12(2):946-70. doi: 10.3390/ijms12020946.

Abstract

Hsp90 is involved in correcting, folding, maturation and activation of a diverse array of client proteins; it has also been implicated in the treatment of cancer in recent years. In this work, comparative molecular field analysis (CoMFA), comparative molecular similarity indices analysis (CoMSIA), molecular docking and molecular dynamics were performed on three different series of Hsp90 inhibitors to build 3D-QSAR models, which were based on the ligand-based or receptor-based methods. The optimum 3D-QSAR models exhibited reasonable statistical characteristics with averaging internal q(2) > 0.60 and external r(2) (pred) > 0.66 for Benzamide tetrahydro-4H-carbazol-4-one analogs (BT), AT13387 derivatives (AT) and Dihydroxylphenyl amides (DA). The results revealed that steric effects contributed the most to the BT model, whereas H-bonding was more important to AT, and electrostatic, hydrophobic, H-bond donor almost contributed equally to the DA model. The docking analysis showed that Asp93, Tyr139 and Thr184 in Hsp90 are important for the three series of inhibitors. Molecular dynamics simulation (MD) further indicated that the conformation derived from docking is basically consistent with the average structure extracted from MD simulation. These results not only lead to a better understanding of interactions between these inhibitors and Hsp90 receptor but also provide useful information for the design of new inhibitors with a specific activity.

摘要

热休克蛋白90(Hsp90)参与多种客户蛋白的校正、折叠、成熟和激活过程;近年来它在癌症治疗中也受到关注。在本研究中,对三类不同的Hsp90抑制剂进行了比较分子场分析(CoMFA)、比较分子相似性指数分析(CoMSIA)、分子对接和分子动力学研究,以构建基于配体或受体方法的三维定量构效关系(3D-QSAR)模型。对于苯甲酰胺四氢-4H-咔唑-4-酮类似物(BT)、AT13387衍生物(AT)和二羟基苯基酰胺(DA),最佳的3D-QSAR模型表现出合理的统计特征,内部交叉验证系数q(2)平均值>0.60,外部预测系数r(2) (pred)>0.66。结果表明,空间效应在BT模型中贡献最大,而氢键对AT模型更为重要,静电、疏水、氢键供体对DA模型的贡献几乎相同。对接分析表明,Hsp90中的Asp93、Tyr139和Thr184对这三类抑制剂都很重要。分子动力学模拟(MD)进一步表明,对接得到的构象与MD模拟提取的平均结构基本一致。这些结果不仅有助于更好地理解这些抑制剂与Hsp90受体之间的相互作用,也为设计具有特定活性的新型抑制剂提供了有用信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59f1/3083683/553dde9674e0/ijms-12-00946f1.jpg

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