BMC Bioinformatics | |
Capturing coevolutionary signals inrepeat proteins | |
Rocío Espada2  R Gonzalo Parra1  Thierry Mora3  Aleksandra M Walczak4  Diego U Ferreiro1  | |
[1] Protein Physiology Lab, Dep de Química Biológica, Facultad de Ciencias Exactas y Naturales, UBA-CONICET-IQUIBICEN, Buenos Aires, Argentina | |
[2] Departamento de Física, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina | |
[3] Laboratoire de physique statistique, CNRS, UPMC and École normale supérieure, 24 rue Lhomond, Paris 75005, France | |
[4] 24 rue Lhomond, Paris 75005, France | |
关键词: Co-evolution; Direct information; Repeat proteins; Direct coupling analysis; | |
Others : 1231818 DOI : 10.1186/s12859-015-0648-3 |
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received in 2015-03-17, accepted in 2015-06-16, 发布年份 2015 |
【 摘 要 】
Background
The analysis of correlations of amino acid occurrences in globular domains has led to the development of statistical tools that can identify native contacts – portions of the chains that come to close distance in folded structural ensembles. Here we introduce a direct coupling analysis for repeat proteins – natural systems for which the identification of folding domains remains challenging.
Results
We show that the inherent translational symmetry of repeat protein sequences introduces a strong bias in the pair correlations at precisely the length scale of the repeat-unit. Equalizing for this bias in an objective way reveals true co-evolutionary signals from which local native contacts can be identified. Importantly, parameter values obtained for all other interactions are not significantly affected by the equalization. We quantify the robustness of the procedure and assign confidence levels to the interactions, identifying the minimum number of sequences needed to extract evolutionary information in several repeat protein families.
Conclusions
The overall procedure can be used to reconstruct the interactions at distances larger than repeat-pairs, identifying the characteristics of the strongest couplings in each family, and can be applied to any system that appears translationally symmetric.
【 授权许可】
2015 Espada et al.
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