细菌蛋白质的定位预测及基于结构的计算机模拟分析：重点关注外膜蛋白

Localization prediction and structure-based in silico analysis of bacterial proteins: with emphasis on outer membrane proteins.

作者信息

Imai Kenichiro, Hayat Sikander, Sakiyama Noriyuki, Fujita Naoya, Tomii Kentaro, Elofsson Arne, Horton Paul

机构信息

AIST, Computational Biology Research Center, Tokyo, Japan.

出版信息

Methods Mol Biol. 2013;939:115-40. doi: 10.1007/978-1-62703-107-3_10.

DOI:10.1007/978-1-62703-107-3_10

PMID:23192545

Abstract

In this chapter, we first discuss protein localization in bacteria and evaluate some localization prediction tools on an independent dataset. Next, we focus on β-barrel outer membrane proteins (BOMPs), describing and evaluating new tools for BOMP detection and topology prediction. Finally, we apply general protein structure prediction methods on these proteins to show that the structure of most BOMPs in E. coli can be modeled reliably.

摘要

在本章中，我们首先讨论细菌中的蛋白质定位，并在一个独立数据集上评估一些定位预测工具。接下来，我们聚焦于β-桶状外膜蛋白（BOMPs），描述并评估用于BOMP检测和拓扑结构预测的新工具。最后，我们将一般的蛋白质结构预测方法应用于这些蛋白质，以表明大肠杆菌中大多数BOMP的结构可以可靠地建模。