Laskar Aparna, Chatterjee Aniruddha, Chatterjee Somnath, Rodger Euan J
Infectious Diseases and Immunology Division, CSIR-Indian Institute of Chemical Biology, West Bengal, Kolkata 700032, India.
Mol Biol Int. 2012;2012:580965. doi: 10.1155/2012/580965. Epub 2012 Nov 19.
Serine proteases are involved in a variety of biological processes and are classified into clans sharing structural homology. Although various three-dimensional structures of SC clan proteases have been experimentally determined, they are mostly bacterial and animal proteases, with some from archaea, plants, and fungi, and as yet no structures have been determined for protozoa. To bridge this gap, we have used molecular modeling techniques to investigate the structural properties of different SC clan serine proteases from a diverse range of taxa. Either SWISS-MODEL was used for homology-based structure prediction or the LOOPP server was used for threading-based structure prediction. The predicted models were refined using Insight II and SCRWL and validated against experimental structures. Investigation of secondary structures and electrostatic surface potential was performed using MOLMOL. The structural geometry of the catalytic core shows clear deviations between taxa, but the relative positions of the catalytic triad residues were conserved. Evolutionary divergence was also exhibited by large variation in secondary structure features outside the core, differences in overall amino acid distribution, and unique surface electrostatic potential patterns between species. Encompassing a wide range of taxa, our structural analysis provides an evolutionary perspective on SC clan serine proteases.
丝氨酸蛋白酶参与多种生物学过程,并根据结构同源性分为不同的家族。尽管已经通过实验确定了SC家族蛋白酶的各种三维结构,但它们大多是细菌和动物蛋白酶,也有一些来自古细菌、植物和真菌,目前尚未确定原生动物的结构。为了填补这一空白,我们使用分子建模技术研究了来自不同分类群的不同SC家族丝氨酸蛋白酶的结构特性。要么使用SWISS-MODEL进行基于同源性的结构预测,要么使用LOOPP服务器进行基于穿线法的结构预测。使用Insight II和SCRWL对预测模型进行优化,并根据实验结构进行验证。使用MOLMOL对二级结构和静电表面电位进行研究。催化核心的结构几何形状在不同分类群之间存在明显差异,但催化三联体残基的相对位置是保守的。核心区域以外二级结构特征的巨大差异、整体氨基酸分布的差异以及物种之间独特的表面静电势模式也表现出进化分歧。我们的结构分析涵盖了广泛的分类群,为SC家族丝氨酸蛋白酶提供了一个进化视角。