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抑制剂结合后神经溶素动力学的远程变化。

Long-Range Changes in Neurolysin Dynamics Upon Inhibitor Binding.

作者信息

Uyar A, Karamyan V T, Dickson A

机构信息

Department of Biochemistry and Molecular Biology, Michigan State University , East Lansing, Michigan 48824, United States.

Department of Pharmaceutical Sciences, School of Pharmacy, Texas Tech University Health Sciences Center , Amarillo, Texas 79106, United States.

出版信息

J Chem Theory Comput. 2018 Jan 9;14(1):444-452. doi: 10.1021/acs.jctc.7b00944. Epub 2017 Dec 8.

Abstract

Crystal structures of neurolysin, a zinc metallopeptidase, do not show a significant conformational change upon the binding of an allosteric inhibitor. Neurolysin has a deep channel where it hydrolyzes a short neuropeptide neurotensin to create inactive fragments and thus controls its level in the tissue. Neurolysin is of interest as a therapeutic target since changes in neurotensin level have been implicated in cardiovascular disorders, neurological disorders, and cancer, and inhibitors of neurolysin have been developed. An understanding of the dynamical and structural differences between apo and inhibitor-bound neurolysin will aid in further design of potent inhibitors and activators. For this purpose, we performed several molecular dynamics (MD) simulations for both apo and inhibitor-bound neurolysin. A machine learning method (Linear Discriminant Analysis) is applied to reveal differences between the apo and inhibitor-bound ensembles in an automated way, and large differences are observed on residues that are far from both the active site and the inhibitor binding site. The effects of inhibitor binding on the collective motions of neurolysin are extensively analyzed and compared using both Principal Component Analysis and Elastic Network Model calculations. We find that inhibitor binding induces additional low-frequency motions that are not observed in the apo form. ENM also reveals changes in inter- and intradomain communication upon binding. Furthermore, differences are observed in the inhibitor-bound neurolysin contact network that are far from the active site, revealing long-range allosteric behavior. This study also provides insight into the allosteric modulation of other neuropeptidases with similar folds.

摘要

神经溶素是一种锌金属肽酶,其晶体结构在结合变构抑制剂后并未显示出明显的构象变化。神经溶素具有一个深通道,它在其中水解短神经肽神经降压素以产生无活性片段,从而控制其在组织中的水平。由于神经降压素水平的变化与心血管疾病、神经疾病和癌症有关,且已开发出神经溶素抑制剂,因此神经溶素作为治疗靶点备受关注。了解无配体和结合抑制剂的神经溶素之间的动力学和结构差异将有助于进一步设计强效抑制剂和激活剂。为此,我们对无配体和结合抑制剂的神经溶素进行了多次分子动力学(MD)模拟。应用一种机器学习方法(线性判别分析)以自动方式揭示无配体和结合抑制剂的集合之间的差异,并且在远离活性位点和抑制剂结合位点的残基上观察到很大差异。使用主成分分析和弹性网络模型计算广泛分析并比较了抑制剂结合对神经溶素集体运动的影响。我们发现抑制剂结合诱导了无配体形式中未观察到的额外低频运动。弹性网络模型还揭示了结合后域间和域内通信的变化。此外,在远离活性位点的结合抑制剂的神经溶素接触网络中观察到差异,揭示了远程变构行为。这项研究还为具有相似折叠的其他神经肽酶的变构调节提供了见解。

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