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具有新型活性位点的疟疾蛋白酶的结构、底物结合模式、作用机制和速率的计算预测

Computational prediction of structure, substrate binding mode, mechanism, and rate for a malaria protease with a novel type of active site.

作者信息

Bjelic Sinisa, Aqvist Johan

机构信息

Department of Cell and Molecular Biology, Uppsala University Biomedical Center, Box 596, SE-751 24 Uppsala, Sweden.

出版信息

Biochemistry. 2004 Nov 23;43(46):14521-8. doi: 10.1021/bi048252q.

DOI:10.1021/bi048252q
PMID:15544322
Abstract

The histo-aspartic protease (HAP) from the malaria parasite P. falciparum is one of several new promising targets for drug intervention. The enzyme possesses a novel type of active site, but its 3D structure and mechanism of action are still unknown. Here we use a combination of homology modeling, automated docking searches, and molecular dynamics/reaction free energy profile simulations to predict the enzyme structure, conformation of bound substrate, catalytic mechanism, and rate of the peptide cleavage reaction. We find that the computational tools are sufficiently reliable both for identifying substrate binding modes and for distinguishing between different possible reaction mechanisms. It is found that the favored pathway only involves direct participation by the catalytic aspartate, with the neighboring histidine providing critical stabilization (by a factor of approximately 10000) along the reaction. The calculated catalytic rate constant of about 0.1 s(-1) for a hexapeptide substrate derived from the alpha chain of human hemoglobin is in excellent agreement with experimental kinetic data for a similar peptide fragment.

摘要

恶性疟原虫的组织天冬氨酸蛋白酶(HAP)是药物干预的几个新的有前景的靶点之一。该酶具有一种新型的活性位点,但其三维结构和作用机制仍不清楚。在这里,我们结合同源建模、自动对接搜索以及分子动力学/反应自由能分布模拟来预测酶结构、结合底物的构象、催化机制以及肽裂解反应的速率。我们发现,这些计算工具在识别底物结合模式和区分不同可能的反应机制方面都足够可靠。结果发现,有利的途径仅涉及催化天冬氨酸的直接参与,相邻的组氨酸在反应过程中提供关键的稳定作用(约为10000倍)。从人血红蛋白α链衍生的六肽底物的计算催化速率常数约为0.1 s⁻¹,与类似肽片段的实验动力学数据非常吻合。

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