Duong Vy T, Unhelkar Megha H, Kelly John E, Kim Suhn H, Butts Carter T, Martin Rachel W
Department of Chemistry, UC Irvine, Irvine, CA 92697, USA.
Integr Biol (Camb). 2018 Dec 19;10(12):768-779. doi: 10.1039/c8ib00140e.
In plants, esterase/lipases perform transesterification reactions, playing an important role in the synthesis of useful molecules, such as those comprising the waxy coatings of leaf surfaces. Plant genomes and transcriptomes have provided a wealth of data about expression patterns and the circumstances under which these enzymes are upregulated, e.g. pathogen defense and response to drought; however, predicting their functional characteristics from genomic or transcriptome data is challenging due to weak sequence conservation among the diverse members of this group. Although functional sequence blocks mediating enzyme activity have been identified, progress to date has been hampered by the paucity of information on the structural relationships among these regions and how they affect substrate specificity. Here we present methodology for predicting overall protein flexibility and active site flexibility based on molecular modeling and analysis of protein structure networks (PSNs). We define two new types of specialized PSNs: sequence region networks (SRNs) and active site networks (ASNs), which provide parsimonious representations of molecular structure in reference to known features of interest. Our approach, intended as an aid to target selection for poorly characterized enzyme classes, is demonstrated for 26 previously uncharacterized esterase/lipases from the genome of the carnivorous plant Drosera capensis and validated using a case/control design. Analysis of the network relationships among functional blocks and among the chemical moieties making up the catalytic triad reveals potentially functionally significant differences that are not apparent from sequence analysis alone.
在植物中,酯酶/脂肪酶进行酯交换反应,在有用分子的合成中发挥重要作用,例如构成叶片表面蜡质涂层的那些分子。植物基因组和转录组提供了大量关于表达模式以及这些酶上调情况的数据,例如病原体防御和对干旱的反应;然而,由于该组不同成员之间的序列保守性较弱,从基因组或转录组数据预测它们的功能特征具有挑战性。尽管已经鉴定出介导酶活性的功能序列块,但迄今为止的进展受到关于这些区域之间的结构关系以及它们如何影响底物特异性的信息匮乏的阻碍。在这里,我们基于分子建模和蛋白质结构网络(PSN)分析,提出了预测整体蛋白质柔韧性和活性位点柔韧性的方法。我们定义了两种新型的特殊PSN:序列区域网络(SRN)和活性位点网络(ASN),它们根据感兴趣的已知特征提供分子结构的简约表示。我们的方法旨在帮助为特征不明确的酶类选择靶点,以食肉植物茅膏菜(Drosera capensis)基因组中的26种先前未表征的酯酶/脂肪酶为例进行了演示,并使用病例/对照设计进行了验证。对功能块之间以及构成催化三联体的化学基团之间的网络关系分析揭示了潜在的功能上显著的差异,这些差异仅从序列分析中并不明显。