Ribeiro Cristina, Togawa Roberto C, Neshich Izabella A P, Mazoni Ivan, Mancini Adauto L, Minardi Raquel C de Melo, da Silveira Carlos H, Jardine José G, Santoro Marcelo M, Neshich Goran
Department of Biochemistry and Immunology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil.
BMC Struct Biol. 2010 Oct 20;10:36. doi: 10.1186/1472-6807-10-36.
Enzymes belonging to the same super family of proteins in general operate on variety of substrates and are inhibited by wide selection of inhibitors. In this work our main objective was to expand the scope of studies that consider only the catalytic and binding pocket amino acids while analyzing enzyme specificity and instead, include a wider category which we have named the Interface Forming Residues (IFR). We were motivated to identify those amino acids with decreased accessibility to solvent after docking of different types of inhibitors to sub classes of serine proteases and then create a table (matrix) of all amino acid positions at the interface as well as their respective occupancies. Our goal is to establish a platform for analysis of the relationship between IFR characteristics and binding properties/specificity for bi-molecular complexes.
We propose a novel method for describing binding properties and delineating serine proteases specificity by compiling an exhaustive table of interface forming residues (IFR) for serine proteases and their inhibitors. Currently, the Protein Data Bank (PDB) does not contain all the data that our analysis would require. Therefore, an in silico approach was designed for building corresponding complexes. The IFRs are obtained by "rigid body docking" among 70 structurally aligned, sequence wise non-redundant, serine protease structures with 3 inhibitors: bovine pancreatic trypsin inhibitor (BPTI), ecotine and ovomucoid third domain inhibitor. The table (matrix) of all amino acid positions at the interface and their respective occupancy is created. We also developed a new computational protocol for predicting IFRs for those complexes which were not deciphered experimentally so far, achieving accuracy of at least 0.97.
The serine proteases interfaces prefer polar (including glycine) residues (with some exceptions). Charged residues were found to be uniquely prevalent at the interfaces between the "miscellaneous-virus" subfamily and the three inhibitors. This prompts speculation about how important this difference in IFR characteristics is for maintaining virulence of those organisms.Our work here provides a unique tool for both structure/function relationship analysis as well as a compilation of indicators detailing how the specificity of various serine proteases may have been achieved and/or could be altered. It also indicates that the interface forming residues which also determine specificity of serine protease subfamily can not be presented in a canonical way but rather as a matrix of alternative populations of amino acids occupying variety of IFR positions.
属于同一蛋白质超家族的酶通常作用于多种底物,并受到多种抑制剂的抑制。在这项工作中,我们的主要目标是扩大研究范围,在分析酶特异性时,不再只考虑催化和结合口袋中的氨基酸,而是纳入一个更广泛的类别,我们将其命名为界面形成残基(IFR)。我们的动机是,在将不同类型的抑制剂与丝氨酸蛋白酶亚类对接后,识别那些溶剂可及性降低的氨基酸,然后创建一个界面处所有氨基酸位置及其各自占有率的表格(矩阵)。我们的目标是建立一个平台,用于分析IFR特征与双分子复合物的结合特性/特异性之间的关系。
我们提出了一种新方法,通过编制丝氨酸蛋白酶及其抑制剂的界面形成残基(IFR)详尽表格,来描述结合特性并勾勒丝氨酸蛋白酶的特异性。目前,蛋白质数据库(PDB)并不包含我们分析所需的所有数据。因此,设计了一种计算机模拟方法来构建相应的复合物。通过对70个结构对齐、序列无冗余的丝氨酸蛋白酶结构与3种抑制剂(牛胰蛋白酶抑制剂(BPTI)、依克多因和卵类黏蛋白第三结构域抑制剂)进行“刚体对接”来获得IFR。创建了界面处所有氨基酸位置及其各自占有率的表格(矩阵)。我们还开发了一种新的计算协议,用于预测那些目前尚未通过实验解析的复合物的IFR,准确率至少达到0.97。
丝氨酸蛋白酶的界面偏好极性(包括甘氨酸)残基(有一些例外)。发现带电荷的残基在“杂类 - 病毒”亚家族与这三种抑制剂之间的界面处特别普遍。这引发了人们对IFR特征的这种差异对于维持这些生物体的毒力有多重要的猜测。我们在此的工作为结构/功能关系分析以及详细说明各种丝氨酸蛋白酶的特异性是如何实现和/或可能改变的指标汇编提供了一个独特的工具。它还表明,决定丝氨酸蛋白酶亚家族特异性的界面形成残基不能以规范的方式呈现,而应以占据各种IFR位置的氨基酸替代群体矩阵的形式呈现。