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作 者:邱建丁[1] 梁汝萍[1] 谭学才[1] 邹小勇[1] 莫金垣[1]
机构地区:[1]中山大学化学与化学工程学院
出 处:《高等学校化学学报》2004年第5期831-836,共6页Chemical Journal of Chinese Universities
基 金:国家自然科学基金 (批准号 :2 9975 0 3 3 );广东省自然科学基金 (批准号:0 0 12 3 7和 0 3 15 77)资助
摘 要:将连续小波变换技术的时频局部化特点和氨基酸的疏水特性相结合 ,提出了一种用于预测膜蛋白跨膜区段数目和位置的新方法 ,以代码为 1 YST的膜蛋白为例 ,对小波尺度和疏水值的种类进行了选择 ,同时描述了该法对跨膜螺旋区数目和位置的预测分析过程 .从膜蛋白数据库中随机抽取 3 6个蛋白质 (含跨膜螺旋区 2 3 2 )作为测试集 ,采用该方法对其跨膜螺旋区进行预测 ,其中 2 2 2个跨膜螺旋区能被准确预测 ,准确率为 96.1 % .结果表明 。Membrane protein is a kind of especial protein in its structure, which is of vital importance for living cells and play a role in communication and in the transport of the cells with the outside world. Due to difficulties of experimental techniques, only a handful of membrane proteins have been characterized. Therefore, theoretical prediction methods are important for structure determination of this class of proteins. In this paper, a new method based on the combining of the continuous wavelet transform(CWT) with the hydrophobicity of amino acids is introduced to predict the number and locations of helices in membrane proteins. 1YST is chosen from the protein database as an example to describe the prediction of the number and locations of helices in membrane proteins by using this method. The performance and factors influencing the predicted results are studied in detail. To further investigate the feasibility of this method, we randomly choose 36 proteins from protein database as the test objects, there are 232 transmembrane helices(HTM), 222 of them can be predicted accurately, the average predicted accuracy is 96.1%, which indicates that this method is an efficient tool to predict the HTM of proteins.
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