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通过空间一致性和静电分析检测活性位点——揭示虾碱性磷酸酶的蛋白水解功能。

Active site detection by spatial conformity and electrostatic analysis--unravelling a proteolytic function in shrimp alkaline phosphatase.

机构信息

Department of Biological Sciences, Tata Institute of Fundamental Research, Mumbai, India.

出版信息

PLoS One. 2011;6(12):e28470. doi: 10.1371/journal.pone.0028470. Epub 2011 Dec 8.

Abstract

Computational methods are increasingly gaining importance as an aid in identifying active sites. Mostly these methods tend to have structural information that supplement sequence conservation based analyses. Development of tools that compute electrostatic potentials has further improved our ability to better characterize the active site residues in proteins. We have described a computational methodology for detecting active sites based on structural and electrostatic conformity - CataLytic Active Site Prediction (CLASP). In our pipelined model, physical 3D signature of any particular enzymatic function as defined by its active sites is used to obtain spatially congruent matches. While previous work has revealed that catalytic residues have large pKa deviations from standard values, we show that for a given enzymatic activity, electrostatic potential difference (PD) between analogous residue pairs in an active site taken from different proteins of the same family are similar. False positives in spatially congruent matches are further pruned by PD analysis where cognate pairs with large deviations are rejected. We first present the results of active site prediction by CLASP for two enzymatic activities - β-lactamases and serine proteases, two of the most extensively investigated enzymes. The results of CLASP analysis on motifs extracted from Catalytic Site Atlas (CSA) are also presented in order to demonstrate its ability to accurately classify any protein, putative or otherwise, with known structure. The source code and database is made available at www.sanchak.com/clasp/. Subsequently, we probed alkaline phosphatases (AP), one of the well known promiscuous enzymes, for additional activities. Such a search has led us to predict a hitherto unknown function of shrimp alkaline phosphatase (SAP), where the protein acts as a protease. Finally, we present experimental evidence of the prediction by CLASP by showing that SAP indeed has protease activity in vitro.

摘要

计算方法作为识别活性位点的辅助手段越来越受到重视。这些方法大多具有结构信息,可以补充基于序列保守性的分析。计算静电势的工具的发展进一步提高了我们更好地描述蛋白质中活性位点残基的能力。我们描述了一种基于结构和静电一致性的检测活性位点的计算方法,即 Catalytic Active Site Prediction (CLASP)。在我们的流水线模型中,任何特定酶功能的物理 3D 特征(由其活性位点定义)用于获得空间一致的匹配。虽然以前的工作表明催化残基的 pKa 值与标准值有很大偏差,但我们表明,对于给定的酶活性,来自同一家族的不同蛋白质中的活性位点的类似残基对之间的静电势差 (PD) 是相似的。通过 PD 分析进一步修剪空间一致匹配中的假阳性,其中具有大偏差的同源对被拒绝。我们首先介绍了 CLASP 对两种酶活性(β-内酰胺酶和丝氨酸蛋白酶)的活性位点预测结果,这两种酶是研究最广泛的酶之一。还展示了从 Catalytic Site Atlas (CSA) 提取的基序的 CLASP 分析结果,以证明其能够准确地对具有已知结构的任何蛋白质(无论是假定的还是其他的)进行分类。源代码和数据库可在 www.sanchak.com/clasp/ 获得。随后,我们对碱性磷酸酶 (AP) 进行了探测,AP 是一种众所周知的多功能酶。这种搜索导致我们预测了虾碱性磷酸酶 (SAP) 的一个迄今未知的功能,该蛋白具有蛋白酶的作用。最后,我们通过展示 SAP 在体外确实具有蛋白酶活性来提供 CLASP 预测的实验证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b9d/3234256/b0da1970d9ee/pone.0028470.g001.jpg

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