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基于密度泛函理论的组蛋白去乙酰化酶抑制剂中锌结合基团的排名

DFT-based ranking of zinc-binding groups in histone deacetylase inhibitors.

作者信息

Vanommeslaeghe K, Loverix S, Geerlings P, Tourwé D

机构信息

Vrije Universiteit Brussel, Organic Chemistry Group, Pleinlaan 2, B-1050 Brussel, Belgium.

出版信息

Bioorg Med Chem. 2005 Nov 1;13(21):6070-82. doi: 10.1016/j.bmc.2005.06.009.

DOI:10.1016/j.bmc.2005.06.009
PMID:16006131
Abstract

Histone deacetylases (HDACs) have recently attracted considerable interest as targets in the treatment of cell proliferative diseases such as cancer. In the present work, a general framework is proposed for chemical groups that bind into the HDAC catalytic core. Based on this framework, a series of groups was selected for further investigation. A method was developed to rank the HDAC inhibitory potential of these moieties at the B3LYP/6-31G* level, making use of extra diffuse functions and of the PCM solvation model where appropriate. The resulting binding geometries indicate that very stringent constraints should be satisfied in order to have bidental zinc chelation, and even more so to have a strong binding affinity, which makes it difficult to predict the binding mode and affinity of such zinc-binding groups. The chemical hardness and the pK(a) were identified as important criteria for the binding affinity. Also, the hydrophilicity may have a direct influence on the binding affinity. The calculated binding energies were qualitatively validated with experimental results from the literature, and were shown to be meaningful for the purpose of ranking. Additionally, the insights gained from the present work may be useful for increasing the accuracy of QSAR models by providing a rational basis for selecting descriptors.

摘要

组蛋白去乙酰化酶(HDACs)作为治疗癌症等细胞增殖性疾病的靶点,近来备受关注。在本研究中,我们提出了一个针对结合到HDAC催化核心的化学基团的通用框架。基于此框架,我们选择了一系列基团进行进一步研究。我们开发了一种方法,利用额外的弥散函数并在适当情况下使用PCM溶剂化模型,在B3LYP/6 - 31G*水平上对这些部分的HDAC抑制潜力进行排序。所得的结合几何结构表明,为了实现双齿锌螯合,甚至是为了获得强结合亲和力,都需要满足非常严格的限制条件,这使得预测此类锌结合基团的结合模式和亲和力变得困难。化学硬度和pK(a)被确定为结合亲和力的重要标准。此外,亲水性可能对结合亲和力有直接影响。计算得到的结合能与文献中的实验结果进行了定性验证,并显示出对于排序目的是有意义的。此外,本研究获得的见解可能有助于通过为选择描述符提供合理依据来提高QSAR模型的准确性。

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