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从拟南芥中分类膜转运蛋白的底物特异性。

Classifying substrate specificities of membrane transporters from Arabidopsis thaliana.

机构信息

Center for Bioinformatics, Saarland University, D-66123 Saarbrücken, Germany.

出版信息

J Chem Inf Model. 2010 Oct 25;50(10):1899-905. doi: 10.1021/ci100243m.

Abstract

Membrane transporters catalyze the active transport of molecules across biological barriers such as lipid bilayer membranes. Currently, the experimental annotation of which proteins transport which substrates is far from complete and will likely remain so for much longer. Therefore, it is highly desirable to develop computational methods that may aid in the substrate annotation of putative membrane transport proteins. Here, we measured the similarity of membrane transporters from Arabidopsis thaliana by their amino acid composition, higher sequence order information, amino acid characteristics, or sequence conservation. We considered the substrate classes amino acids, oligopeptides, phosphates, and hexoses. Substrate classification based on the amino acid frequency yielded an accuracy of 75% or higher. Integrating additional information improved the prediction performance to 90% and higher.

摘要

膜转运蛋白催化分子穿过生物屏障(如脂质双分子膜)的主动运输。目前,对哪些蛋白质转运哪些底物的实验注释还远远不够,而且在很长一段时间内可能仍然如此。因此,开发可能有助于推测膜转运蛋白的底物注释的计算方法是非常可取的。在这里,我们通过氨基酸组成、更高的序列顺序信息、氨基酸特征或序列保守性来衡量拟南芥中的膜转运蛋白的相似性。我们考虑了氨基酸、寡肽、磷酸盐和己糖等底物类别。基于氨基酸频率的底物分类精度达到 75%或更高。整合额外的信息将预测性能提高到 90%或更高。

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