Knoll Michael, Hamm Thomas M, Wagner Florian, Martinez Virginia, Pleiss Jürgen
Institute of Technical Biochemistry, University of Stuttgart, Allmandring, Germany.
BMC Bioinformatics. 2009 Mar 18;10:89. doi: 10.1186/1471-2105-10-89.
Polyhydroxyalkanoates (PHAs) can be degraded by many microorganisms using intra- or extracellular PHA depolymerases. PHA depolymerases are very diverse in sequence and substrate specificity, but share a common alpha/beta-hydrolase fold and a catalytic triad, which is also found in other alpha/beta-hydrolases.
The PHA Depolymerase Engineering Database (DED, http://www.ded.uni-stuttgart.de) has been established as a tool for systematic analysis of this enzyme family. The DED contains sequence entries of 587 PHA depolymerases, which were assigned to 8 superfamilies and 38 homologous families based on their sequence similarity. For each family, multiple sequence alignments and profile hidden Markov models are provided, and functionally relevant residues are annotated.
The DED is a valuable tool which can be applied to identify new PHA depolymerase sequences from complete genomes in silico, to classify PHA depolymerases, to predict their biochemical properties, and to design enzyme variants with improved properties.
聚羟基脂肪酸酯(PHA)可被许多微生物利用细胞内或细胞外的PHA解聚酶降解。PHA解聚酶在序列和底物特异性方面差异很大,但具有共同的α/β-水解酶折叠结构和催化三联体,这在其他α/β-水解酶中也存在。
PHA解聚酶工程数据库(DED,http://www.ded.uni-stuttgart.de)已被建立为系统分析该酶家族的工具。DED包含587种PHA解聚酶的序列条目,根据其序列相似性分为8个超家族和38个同源家族。为每个家族提供了多序列比对和轮廓隐马尔可夫模型,并注释了功能相关残基。
DED是一种有价值的工具,可用于从完整基因组中通过计算机鉴定新的PHA解聚酶序列、对PHA解聚酶进行分类、预测其生化特性以及设计具有改进特性的酶变体。