Zhu Z Y, Blundell T L
Department of Crystallography, Birkbeck College, University of London, UK.
J Mol Biol. 1996 Jul 12;260(2):261-76. doi: 10.1006/jmbi.1996.0397.
Elements of secondary structure from known protein three-dimensional structures have been classified with respect to their environments in tertiary structures. The size of the solvent-inaccessible face of an alpha-helix and the accessibility patterns on the two sides of a beta-strand have been used to classify the secondary structures. For each class, we have derived a sequence template, giving the amino acid propensity at each position. A prediction is made by calculating the compatibility of segments of polypeptide sequence against templates for each type of secondary structure. This method predicts not only position of a secondary structure in a protein sequence but also the orientation of the secondary structure with respect to the core of the protein tertiary structure. A jack-knife test is applied to 78 proteins of known structure solved at better than 2 A resolution. It shows that this method predicts between 13% and 17% better than the methods of Lim, GOR and Chou and Fasman at the level of secondary structure. The orientations of inaccessible faces are predicted within 50 degrees of correct value for about two-thirds of alpha-helices.
已根据已知蛋白质三维结构中二级结构单元在三级结构中的环境对其进行了分类。α螺旋溶剂不可及面的大小以及β链两侧的可及性模式已被用于对二级结构进行分类。对于每一类,我们都推导了一个序列模板,给出每个位置的氨基酸倾向。通过计算多肽序列片段与每种二级结构模板的兼容性来进行预测。该方法不仅能预测二级结构在蛋白质序列中的位置,还能预测二级结构相对于蛋白质三级结构核心的方向。对78个分辨率优于2埃的已知结构蛋白质进行了留一法检验。结果表明,在二级结构水平上,该方法的预测比Lim、GOR、Chou和Fasman方法的预测效果好13%至17%。对于大约三分之二的α螺旋,不可及面的方向预测值与正确值的偏差在50度以内。