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Topological Predictions for Integral Membrane Channel and CarrierProteins

机译:整体膜通道和载体的拓扑预测蛋白质类

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摘要

We evaluated topological predictions for nine different programs, HMMTOP, TMHMM, SVMTOP, DAS, SOSUI, TOPCONS, PHOBIUS, MEMSAT-SVM (hereinafter referred to as MEMSAT), and SPOCTOPUS. These programs were first evaluated using four large topologically well-defined families of secondary transporters, and the three best programs were further evaluated using topologically more diverse families of channels and carriers. In the initial studies, the order of accuracy was: SPOCTOPUS>MEMSAT>HMMTOP>TOPCONS>PHOBIUS>TMHMM>SVMTOP>DAS>S OSUI. Some families, such as the Sugar Porter family (2.A.1.1) of the Major Facilitator Superfamily (MFS; TC# 2.A.1) and the Amino acid/Polyamine/Organocation (APC) Family (TC# 2.A.3), were correctly predicted with high accuracy while others, such as the Mitochondrial Carrier (MC) (TC# 2.A.29) and the K+ transporter (Trk) families (TC# 2.A.38), were predicted with much lower accuracy. For small, topologically homogeneous families, SPOCTOPUS and MEMSAT were generally most reliable, while with large, more diverse superfamilies, HMMTOP often proved to have the greatest prediction accuracy. We next developed a novel program, TM-STATS, that tabulates HMMTOP, SPOCTOPUS or MEMSAT-based topologicalpredictions for any subdivision (class, subclass, superfamily, family,subfamily, or any combination of these) of the Transporter ClassificationDatabase (TCDB; ) and examined the following subclasses:α-type channel proteins (TC subclasses 1.A and 1.E), secretedporeforming toxins (TC subclass 1.C) and secondary carriers (subclass 2.A).Histograms 3 were generated for each of these subclasses, and the results wereanalyzed according to subclass, family and protein. The results provide anupdate of topological predictions for integral membrane transport proteins aswell as guides for the development of more reliable topological predictionprograms, taking family-specific characteristics into account.
机译:我们评估了HMMTOP,TMHMM,SVMTOP,DAS,SOSUI,TOPCONS,PHOBIUS,MEMSAT-SVM(以下称为MEMSAT)和SPOCTOPUS九种不同程序的拓扑预测。首先使用四个拓扑结构明确的二级转运蛋白家族评估这些程序,然后使用拓扑结构更多样化的通道和载体家族进一步评估这三个最佳程序。在最初的研究中,准确性的顺序为:SPOCTOPUS> MEMSAT> HMMTOP> TOPCONS> PHOBIUS> TMHMM> SVMTOP> DAS> S OSUI。一些家族,例如主要促进者超家族(MFS; TC#2.A.1)的Sugar Porter家族(2.A.1.1)和氨基酸/多胺/有机体(APC)家族(TC#2.A) .3),而其他诸如线粒体载体(MC)(TC#2.A.29)和K + 转运蛋白(Trk)家族(TC#2)则能以较高的准确度正确预测(A.38)预测的准确性要低得多。对于小型,拓扑均匀的族,SPOCTOPUS和MEMSAT通常是最可靠的,而对于超大的,更多类的超族,HMMTOP通常被证明具有最高的预测精度。接下来,我们开发了一个新颖的程序TM-STATS,该程序将基于HMMTOP,SPOCTOPUS或MEMSAT的拓扑列表化任何细分的预测(类,子类,超家族,家庭,子类别,或这些分类的任何组合)数据库(TCDB;)并检查了以下子类:分泌的α型通道蛋白(TC的亚类1.A和1.E)造孔毒素(TC子类1.C)和次要载体(子类2.A)。为每个子类生成直方图3,结果为根据亚类,家族和蛋白质进行分析。结果提供了完整的膜转运蛋白的拓扑预测的更新为以及开发更可靠的拓扑预测的指南计划,要考虑到家庭的特点。

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