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.
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
