[中文文摘]我们对于两个主要人源基因组数据库(NCBI和UniprotKB/Swissprot)中已知功能的跨膜螺旋膜蛋白进行了系统化的预测和分析。首先应用TMHMM算法预测了每个膜蛋白跨膜螺旋的拓扑结构,应用SignalP预测算法剔除其中的含信号肽的分泌蛋白,并根据蛋白质的已知功能排除信号肽预测中的假阳性结果。同时,在整个跨膜螺旋膜蛋白组中,或者在不同功能类别中,进行了跨膜螺旋数量和分子量分布的分析;并在此基础上,进一步分析了每个跨膜螺旋的氨基酸分布及相对于细胞膜的不同位置上的氨基酸分布。对具有已知功能的人类螺旋膜蛋白的全基因组预测和分析为进一步研究膜蛋白三维结构、功能及蛋白质间的相互作用提供了良好的开端。[英文文摘]Human helical membrane proteins with known function were predicted and analyzed from two human proteome databases: NCBI and UniprotKB/Swissprot.Helical transmembrane topology of each protein was predicted using streamlined TMHMM and SignalP methods.Some false-positive SignalP predictions were verified and rescued based on their function annotation.Distributions of transmembrane helix number and molecular weight were analyzed for either the whole helical membrane proteome or proteins within a specific functional category. Length distribution and amino acids in different locations of each helix were also analyzed. Genome wide prediction and estimation of human helical membrane proteins with known function provide a starting point for further studies of membrane protein structure and function and protein interactions.supported by grants from the"973"Program(2007CB914304); "863"Program(2006AA02A321
