一种基于SwissProt数据库统计分析的蛋白质跨膜片段预测新方法：PRED-TMR算法
A novel method for predicting transmembrane segments in proteins based on a statistical analysis of the SwissProt database: the PRED-TMR algorithm
摘要：
我们提出了一种新的方法，预测跨膜结构域的蛋白质中使用的序列本身所包含的信息。所描述的PRED-TMR算法通过检测跨膜区域的潜在末端（“边缘”，起始和结束）来改进标准疏水性分析。这使得人们既可以丢弃不被明确的起始和终止构型所界定的高度疏水区域，又可以确认不被其疏水组成所区分的推定的跨膜区段。101个非同源跨膜蛋白的可靠拓扑结构的测试集上获得的准确性比较以及与其他流行的现有方法。当将该算法应用于SwissProt数据库（第35版）的所有跨膜蛋白时，仅观察到预测准确性略有下降。运行PRED-TMR算法的WWW服务器可在http://o2.db.uoa上获得。gr/PRED-TMR/
英文摘要：
We present a novel method that predicts transmembrane domains in proteins using solely information contained in the sequence itself. The PRED-TMR algorithm described, refines a standard hydrophobicity analysis with a detection of potential termini ('edges', starts and ends) of transmembrane regions. This allows one both to discard highly hydrophobic regions not delimited by clear start and end configurations and to confirm putative transmembrane segments not distinguishable by their hydrophobic composition. The accuracy obtained on a test set of 101 non-homologous transmembrane proteins with reliable topologies compares well with that of other popular existing methods. Only a slight decrease in prediction accuracy was observed when the algorithm was applied to all transmembrane proteins of the SwissProt database (release 35). A WWW server running the PRED-TMR algorithm is available at http://o2.db.uoa. gr/PRED-TMR/
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