期刊
PROTEIN SCIENCE
卷 11, 期 12, 页码 2871-2886出版社
WILEY
DOI: 10.1110/ps.0220502
关键词
3D local structure prediction; 3D protein topology; probabilistic approach; sequence-structure relationship; structural alphabet; 3D overlapping motifs
Protein Blocks (PBs) comprise a structural alphabet of 16 protein fragments, each 5 Cot long. They make it possible to approximate and correctly predict local protein three-dimensional (3D) structures. We have selected the 72 most frequent sequences of five PBs, which we call Structural Words (SWs). Analysis of four different protein data banks shows that SWs cover 92% of the amino acids in them and provide a good structural approximation for residues (i.e., sequences) 9 Calpha long. We present most of them in a simple network that describes 90% of the overall residues and, interestingly, includes more than 80% of the amino acids present in coils. Analysis of the network shows the specificity and quality of the 3D descriptions as well as a new type of relation between local folds and amino acid distribution. The results show that the 3D structure of these protein data banks can be easily described by a combination of subgraphs included in the network. Finally, a Bayesian probabilistic approach improved the prediction rate by 4%.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据