小波变换在膜蛋白跨膜螺旋区段预测中的应用

Prediction of Transmembrane Helical Segments in Membrane Proteins by Wavelet Transform

膜蛋白跨膜螺旋区段的预测是当前生物信息学研究的一个重要领域.提出了一种基于离散小波变换的预测膜蛋白跨膜螺旋区段数目和位置的方法.以PDB代码为1KQG的膜蛋白为例,描述了该方法对跨膜螺旋区段的数目和位置的预测分析过程.为了测试方法的实际效果,从最新的MPtopo数据库中随机抽取80条三维结构已知的膜蛋白序列作为测试集(含325个跨膜螺旋区),采用该方法对跨膜螺旋区段进行预测,其中308个跨膜螺旋区被准确预测到,预测准确率为96.3%.并且按照膜蛋白的功能和类型,把80条序列划分成13组,对每一组膜蛋白序列进行跨膜螺旋区段预测,达到了令人满意的结果.

The prediction of transmembrane helical segments （TMHs） in membrane proteins is an important field in the bioinformatics research. In this paper, a new method based on discrete wavelet transform （DWT） has been developed to predict the number and location of TMHs in membrane proteins. PDB coded as 1KQG was chosen as an example to describe the prediction of the number and location of TMHs in membrane proteins by using this method. To access the effect of the method,80 proteins with known 3D-structure from Mptopo database are chosen at random as the test objects （including 325 TMHs）,308 of which can be predicted accurately, the average predicted accuracy is 96. 30%. In addition, the above 80 membrane proteins are divided into 13 groups according to their function and type. In particular, the results of the prediction of TMHs of the 13 groups are satisfying.