摘要
通过从Protein Data Bank(PDB)结构数据库中提取单氨基酸突变的晶体结构,构建了一组无冗余的测试数据集,对目前应用最广泛的两款同源建模预测软件(SWISS-MODEL和MODELLER)进行了测试分析,发现它们对蛋白质的整体结构预测效果良好,均方根偏差小于0.5埃(RMSD<0.5),但在突变导致结构显著变化(RMSD>1.5)的情况下却均不能得到准确结果.分类统计显示,发生在蛋白质结构内部和极性氨基酸之间的突变结构变化小,两款软件预测效果较好(RMSD<1.0).突变导致结构显著变化的可能性不高(<5%),但它对蛋白质功能的影响不可忽视,因此应用同源建模方法对于蛋白质突变的模拟并不完全适用,还需要开发新方法来提高准确性.
Single residue substitution crystal structures were extracted from Protein Data Bank (PDB) to construct a non-redundant test set, which was used to assess two homology modeling structure prediction tools, SWISS-MODEL and MODELLER. The results indicate that the two methods perform well in overall structure prediction (RMSD〈0. 5A), however, they fail to predict the mutants that own signifi- cant structural changes (ARMSD〉1. 5A) upon residue substitutions. The two methods perform better in mutations of embedded residues and mutations between polar residues. Although it is a small fraction of residue substitutions (〈5%) that lead to significant conformation changes, they may play important roles in loss or gain protein functions. Therefore traditional homologous modeling methods are not appropriate for predicting such protein structures. There is urgent need to developing more powerful prediction methods.
出处
《四川大学学报(自然科学版)》
CAS
CSCD
北大核心
2017年第3期658-664,共7页
Journal of Sichuan University(Natural Science Edition)
基金
国家自然科学基金(31401130)
关键词
生物信息
突变
同源建模
结构预测
Bioinformatics
Mutation
Homology Modeling
Structure Prediction