共 52 条
Co-evolving residues in membrane proteins
被引:55
作者:
Fuchs, Angelika
[1
]
Martin-Galiano, Antonio J.
Kalman, Matan
Fleishman, Sarel
Ben-Tal, Nir
Frishman, Dmitrij
机构:
[1] Tech Univ Munich, Dept Genome Oriented Bioinformat, D-85350 Munich, Germany
[2] Tel Aviv Univ, George S Wise Fac Life Sci, Dept Biochem, IL-69978 Ramat Aviv, Israel
关键词:
D O I:
10.1093/bioinformatics/btm515
中图分类号:
Q5 [生物化学];
学科分类号:
071010 ;
081704 ;
摘要:
Motivation: The analysis of co-evolving residues has been exhaustively evaluated for the prediction of intramolecular amino acid contacts in soluble proteins. Although a variety of different methods for the detection of these co-evolving residues have been developed, the fraction of correctly predicted contacts remained insufficient for their reliable application in the construction of structural models. Membrane proteins, which constitute between one-fourth and one-third of all proteins in an organism, were only considered in few individual case studies. Results: We present the first general study of correlated mutations in alpha-helical membrane proteins. Using seven different prediction algorithms, we extracted co-evolving residues for 14 membrane proteins having a solved 3D structure. On average, distances between correlated pairs of residues lying on different transmembrane segments were found to be significantly smaller compared to a random prediction. Covariation of residues was frequently found in direct sequence neighborhood to helix-helix contacts. Based on the results obtained from individual prediction methods, we constructed a consensus prediction for every protein in the dataset that combines obtained correlations from different prediction algorithms and simultaneously removes likely false positives. Using this consensus prediction, 53% of all predicted residue pairs were found within one helix turn of an observed helix-helix contact. Based on the combination of co-evolving residues detected with the four best prediction algorithms, interacting helices could be predicted with a specificity of 83% and sensitivity of 42%.
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页码:3312 / 3319
页数:8
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