CovET: A covariation-evolutionary trace method that identifies protein structure-function modules.
CovET: A covariation-evolutionary trace method that identifies protein structure-function modules.
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COVET:一种协调进化的痕量方法,可以识别蛋白质结构 - 功能模块。
DOI:
10.1016/j.jbc.2023.104896
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发表时间:
2023-07
影响因子:
4.8
通讯作者:
Lichtarge, Olivier
中科院分区:
文献类型:
--
作者:
Konecki, Daniel M.;Hamrick, Spencer;Wang, Chen;Agosto, Melina A.;Wensel, Theodore G.;Lichtarge, Olivier
Measuring the relative effect that any two sequence positions have on each other may improve protein design or help better interpret coding variants. Current approaches use statistics and machine learning but rarely consider phylogenetic divergences which, as shown by Evolutionary Trace studies, provide insight into the functional impact of sequence perturbations. Here, we reframe covariation analyses in the Evolutionary Trace framework to measure the relative tolerance to perturbation of each residue pair during evolution. This approach (CovET) systematically accounts for phylogenetic divergences: at each divergence event, we penalize covariation patterns that belie evolutionary coupling. We find that while CovET approximates the performance of existing methods to predict individual structural contacts, it performs significantly better at finding structural clusters of coupled residues and ligand binding sites. For example, CovET found more functionally critical residues when we examined the RNA recognition motif and WW domains. It correlates better with large-scale epistasis screen data. In the dopamine D2 receptor, top CovET residue pairs recovered accurately the allosteric activation pathway characterized for Class A G protein-coupled receptors. These data suggest that CovET ranks highest the sequence position pairs that play critical functional roles through epistatic and allosteric interactions in evolutionarily relevant structure-function motifs. CovET complements current methods and may shed light on fundamental molecular mechanisms of protein structure and function.
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影响因子:
3.7
作者:
Venner E;Lisewski AM;Erdin S;Ward RM;Amin SR;Lichtarge O
通讯作者:
Lichtarge O
影响因子:
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影响因子:
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通讯作者:
Filipek, Slawomir
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作者:
Dunn, S. D.;Wahl, L. M.;Gloor, G. B.
通讯作者:
Gloor, G. B.
影响因子:
4.8
作者:
Gu, PL;Morgan, DH;Cooney, AJ
通讯作者:
Cooney, AJ