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基于蛋白质结构的多重序列比对的黄金标准评估法：平均相似性法 被引量：1

Average similarity:A golden benchmark for quantifying multiple sequencealignment of proteins based on their structures
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摘要 目的:建立蛋白质多重序列的质量评估法。方法:假定在多重序列比对中的一条序列是未知的,以其他序列作为模板,通过将模板蛋白质的三维结构作为未知蛋白质的预测模型,进而比较预测与实际结构的相似性,将它们的平均值作为多重序列比对的质量。结果:通过SCOP数据库的检验,所得的质量标准与专家分类的标准基本一致。结论:本方法是一种有效的蛋白质多重序列比对的质量评估法。 Aim： To establish an assessment method for the multiple sequence alignment（MSA）. Methods： Sup- posing the unknown structure of one protein sequence, the MSA was exploited as the model of the supposed un- known proteins according to the other proteins＇ 3-D structures. Moreover, the average similarity between the mod- els and the actual structure of the supposed unknown protein was assessed for the practicability of the MSA. Results： Based on the SCOP database, average similarity was found to be fairly consistent with the classifi- cation of experts. Conclusion： Average similarity is indictive of a golden benchmark for MSA.
作者 康勍 胡健 戚兴保 方慧生 陈凯先
机构地区 中国药科大学生命科学与技术学院 上海中医药大学
出处 《中国药科大学学报》 CAS CSCD 北大核心 2009年第2期190-192,共3页 Journal of China Pharmaceutical University
关键词 多重序列比对 评估 平均相似性法 蛋白质结构 muhiple sequence alignment（MSA） assessment average similarity protein structure
分类号 Q51 [生物学—生物化学]
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参考文献22

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同被引文献26

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中国药科大学学报
2009年 第2期

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