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On the Accuracy of Transmembrane Segment Prediction of Helical integral Membrane Proteins

机译:螺旋整体膜蛋白跨膜段预测的准确性

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Integral membrane proteins play a vital role in a number of essential biological functions. Although abundant, about 30% of genes are known to code for membrane proteins, the number of solved structures in the pdb is less than 1%. Thus, structure prediction of membrane proteins is an essential tool for understanding their functions. A fundamental characteristic of the predicted structure is the topology - identification of trans-membrane segments and the overall orientation with respect to the membrane (intra- or extra-cellular). Several prediction methods have been developed for this purpose, both knowledge-based and residue hydrophobicity-based. Although the performances of almost all of these methods are rather high, short loops and long helices are predicted less accurately [1]. One of the problems of estimating accuracy of different prediction methods is the absence of experimentally reliable trans-membrane annotations to compare with. Thus, one is forced to compare prediction versus prediction, where the assumed transmembrane segments typically are identical to entire helix lengths of putative membrane-spanning segments in the pdb structure. Adding hydrophobicity information to the structural data, and by optimizing the resulting membrane-protein mismatch energy, we provide alternate assignments of trans-membrane segments of membrane proteins whose structures are known. This new assignment is used to revaluate the prediction accuracy of established prediction methods and hydrophobicity-based methods. The implications of our results are discussed.
机译:整体膜蛋白在许多基本生物学功能中起着至关重要的作用。虽然丰富的基因额外,已知为膜蛋白的代码已知,PDB中的溶解结构的数量小于1%。因此,膜蛋白的结构预测是用于理解其功能的必要工具。预测结构的基本特征是拓扑结构 - 跨膜段的识别以及相对于膜(内或细胞内)的总体取向。为此目的开发了几种预测方法,既有基于知识和基于残留的疏水性。虽然几乎所有这些方法的性能相当高,但较短的循环和长螺旋的准确性较少[1]。估计不同预测方法的准确性的问题之一是没有实验可靠的跨膜注释来比较。因此,被迫比较预测与预测,其中假设的跨膜段通常与PDB结构中的推定膜跨度段的整个螺旋长度相同。将疏水性信息添加到结构数据,并通过优化所得膜 - 蛋白失配能,我们提供膜蛋白的横膜段的交替分配,其结构是已知的。这种新的任务用于重温既定预测方法和基于疏水性的方法的预测准确性。讨论了我们结果的含义。

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