一种序列相关支持向量机的β桶状跨膜蛋白预测方法

Prediction of β-barrel Transmembrane Protein from Sequence Based on SVM

膜蛋白是一种具有重要生物功能的蛋白质,根据蛋白质的序列信息预测其是否属于β桶状跨膜蛋白是结构预测与功能分析的重要先导步骤,也是蛋白质预测领域中的一个挑战性问题。针对这两类问题,提取了208条β桶状跨膜蛋白序列的氨基酸位置与理化特征。利用支持向量机(SVM)进行了预测,结果表明二分类精度与相关系数分别达到了88.36%与0.7723。

Membrane protein is a sort of protein with important biological functions.To predict if the protein belong to β-barrel transmembrane protein according to sequence is the important precursor step for predicting 3D structure of β-barrel transmembrane protein,also is a challenging job in computational protein field.This paper introduced the feature extraction of 208β-barrel transmembrane protein sequences and prediction by SVM.The features consist of the position information in sequence,the physical and chemical properties of amino acid residues.And the results show that the accuracy and MCC of the method are 88.36% and 0.7723 respectively.