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Protein interface conservation across structure space
DOI:10.1073/pnas.1005894107.png)
摘要
En 中文
With the advent of Systems Biology, the prediction of whether two proteins form a complex has become a problem of increased importance. A variety of experimental techniques have been applied to the problem, but three-dimensional structural information has not been widely exploited. Here we explore the range of applicability of such information by analyzing the extent to which the location of binding sites on protein surfaces is conserved among structural neighbors. We find, as expected, that interface conservation is most significant among proteins that have a clear evolutionary relationship, but that there is a significant level of conservation even among remote structural neighbors. This finding is consistent with recent evidence that information available from structural neighbors, independent of classification, should be exploited in the search for functional insights. The value of such structural information is highlighted through the development of a new protein interface prediction method, PredUs, that identifies what residues on protein surfaces are likely to participate in complexes with other proteins. The performance of PredUs, as measured through comparisons with other methods, suggests that relationships across protein structure space can be successfully exploited in the prediction of protein-protein interactions.
Keyword:
BINDING SITE PREDICTION
DOMAIN INTERACTIONS
COMPLEXES
SEQUENCES
ANNOTATION
DIVERGENCE
SIMILARITY
GEOMETRY
PROGRAM
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期刊
P
IF:
9.1
论文数:
10.8W
被引数:
73.5W
机构
引用论文
BioGRID: a general repository for interaction datasetsBioGRID: 交互数据集的通用存储库
NUCLEIC ACIDS RESEARCH
IF13.1
A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotation基于线程的方法 (FINDSITE) 用于配体结合位点预测和功能注释

