Hou Jingtong, Jun Se-Ran, Zhang Chao, Kim Sung-Hou
Department of Chemistry and Graduate Program of Comparative Biochemistry, University of California, Berkeley, CA 94720, USA.
Proc Natl Acad Sci U S A. 2005 Mar 8;102(10):3651-6. doi: 10.1073/pnas.0409772102. Epub 2005 Feb 10.
We have constructed a map of the "protein structure space" by using the pairwise structural similarity scores calculated for all nonredundant protein structures determined experimentally. As expected, proteins with similar structures clustered together in the map and the overall distribution of structural classes of this map followed closely that of the map of the "protein fold space" we have reported previously. Consequently, proteins sharing similar molecular functions also were found to colocalize in the protein structure space map, pointing toward a previously undescribed scheme for structure-based functional inference for remote homologues based on the proximity in the map of the protein structure space. We found that this scheme consistently outperformed other predictions made by using either the raw scores or normalized Z-scores of pairwise DALI structure alignment.
我们通过使用针对所有经实验确定的非冗余蛋白质结构计算得到的成对结构相似性得分,构建了一张“蛋白质结构空间”图谱。正如预期的那样,结构相似的蛋白质在图谱中聚集在一起,并且该图谱中结构类别的总体分布与我们之前报道的“蛋白质折叠空间”图谱的分布密切相关。因此,我们还发现具有相似分子功能的蛋白质在蛋白质结构空间图谱中也共定位,这指向了一种基于蛋白质结构空间图谱中的接近程度对远源同源物进行基于结构的功能推断的前所未有的方案。我们发现,该方案始终优于使用成对DALI结构比对的原始得分或归一化Z得分所做的其他预测。