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使用TreeSAAP分析软件评估并提高蛋白质适应性检测的准确性。

Assessing and improving the accuracy of detecting protein adaptation with the TreeSAAP analytical software.

作者信息

McClellan David A, Ellison David D

机构信息

Bigelow Laboratory for Ocean Sciences, West Boothbay Harbor, ME 04575, USA.

出版信息

Int J Bioinform Res Appl. 2010;6(2):120-33. doi: 10.1504/IJBRA.2010.032116.

Abstract

TreeSAAP has been used in a variety of protein studies for detecting adaptation in terms of the physicochemical properties involved in amino acid replacement. The accuracy of TreeSAAP was here tested using simulated protein-coding DNA data. A sampling of 1402 simulated amino acid replacements resulted in a default accuracy of 81.1%, with most properties exhibiting >90% accuracy. More than half of the false-positive results were traced to just 11 of the 180 possible single-step amino acid exchanges. Overall accuracy increased as the number of magnitude partitions used in the analysis decreased. Sliding window size did not significantly affect accuracy.

摘要

TreeSAAP已被用于各种蛋白质研究中,以根据氨基酸替换所涉及的物理化学性质来检测适应性。本文使用模拟的蛋白质编码DNA数据测试了TreeSAAP的准确性。对1402个模拟氨基酸替换进行抽样,默认准确率为81.1%,大多数性质的准确率>90%。超过一半的假阳性结果可追溯到180种可能的单步氨基酸交换中的仅11种。随着分析中使用的量级分区数量减少,总体准确率提高。滑动窗口大小对准确率没有显著影响。

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