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出 处:《湖北农业科学》2013年第23期5898-5901,共4页Hubei Agricultural Sciences
基 金:辽宁省教育厅教学改革立项项目(2012411)
摘 要:基于氨基酸一级序列,应用离散增量的方法识别ArchDB数据库中的6 100个β发夹模体和2 701个非β发夹模体。模体按照二级结构中无规卷曲的长进行分类得到"07232"、"07322"、"09432"、"09522"、"13643"、"13733"、"13832"、"13922"型。以氨基酸和氨基酸紧邻关联为参量,利用10-fold交叉检验的方法进行检验,平均识别精度均达到75.0%和83.0%以上。以氨基酸亲疏水性和亲疏水紧邻关联为参量进行检验,平均识别精度有所降低。Based on the primary sequence of amino acids,6 100 β-hairpin motifs and 2 701 non-hairpins motifs of the ArchDB database were recognized with the method of increment of diversity.β3-hairpin motifs were classified by the coil length in the secondary structure,into “07232 ”,”07322”、“09432”、“09522”、“13643”、“13733”、“13832” and “13922”types.Using amino acid and amino acids tight neighbor correlation as parameters,β-hairpin motifs were tested by the 10-fold cross-validation method and the average recognition accuracy could reached 75.0% and 83.0%.Using amino acid hydrophilic and hydrophobic,hydrophilic and hydrophobic tight neighbor correlation as the parameters,the average recognition accuracy decreased.
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