Mohana Rao J K
Int J Pept Protein Res. 1987 Feb;29(2):276-81. doi: 10.1111/j.1399-3011.1987.tb02254.x.
Based on residue characteristic physical parameters, a new scoring matrix, called EMPAR, for amino acid exchanges in proteins was obtained. When comparing protein sequences for detecting homologies, the use of this matrix in place of the Dayhoff log-odds matrix yields results that reflect the topological similarities in the proteins. The use of EMPAR is equivalent to the parametric correlates coefficient approach of Ooi and his colleagues. This matrix correlates at 0.63 with the Dayhoff matrix.
基于残基特征物理参数，获得了一种用于蛋白质中氨基酸交换的新评分矩阵，称为EMPAR。在比较蛋白质序列以检测同源性时，使用该矩阵代替Dayhoff对数几率矩阵可得到反映蛋白质拓扑相似性的结果。使用EMPAR等同于Ooi及其同事的参数相关系数方法。该矩阵与Dayhoff矩阵的相关性为0.63。
