3) protein structural classes
蛋白质结构类
1.
According to physicochemical properties of amino acid,the approach of feature extraction of incorporating amino acid composition with different auto-correlation functions has been introduced to predict non-homologous protein structural classes,and seven feature sets(COMP,FINA,MAXF,NAKH,BIOV,OOBM,RICJ)could be gained.
根据氨基酸的物化特性,基于氨基酸组成成分与氨基酸残基指数自相关函数相结合特征提取法,从非同源蛋白质序列中提取7个特征集(COMP、FINA、MAXF、NAKH、BIOV、OOBM、RICJ),采用有先验知识的投票表决特征融合算法融合这7个特征集,对蛋白质结构类进行预测。
2.
According to physicochemical properties of amino acid,the approach of feature extraction of incorporating amino acid composition with different auto-correlation functions has been introduced to predict non-homologous protein structural classes and seven feature sets could be gained.
本文根据氨基酸理化性质,基于氨基酸组成成分与自相关函数相结合特征提取法从非同源蛋白质序列中提取七个特征集,采用局部正确性的动态特征选择算法进行多特征组合来预测蛋白质结构类,并与各个特征集进行了比较。
4) Protein structural class
蛋白质结构类
1.
In the present paper,we have combined the improved genetic algorithms and support vector machines for prediction of protein structural class.
本文将遗传算法与支持向量机相结合预测蛋白质结构类,jackknife 交叉验证表明当前的方法不仅能获得高的分类精度,而且也能够得到表达蛋白质一级序列的最优特征子集, 从而进一步研究蛋白质的折叠机理。
2.
The whole protein sequence and a neural network were used to predict protein structural classes.
利用神经网络和蛋白质全序列对蛋白质结构类进行了预测。
6) viral nonstructural proteins
病毒非结构蛋白质类
补充资料：蛋白
蛋白
为食物蛋白和蛋白胨的中间产物，可溶于水，遇热不凝固，可供培养微生物之用。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条