Structure-based activity prediction of CYP21A2 stability variants: A survey of available gene variations.
Structure-based activity prediction of CYP21A2 stability variants: A survey of available gene variations.
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CYP21A2稳定性变体的基于结构的活性预测:可用基因变异的调查。
DOI:
10.1038/srep39082
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发表时间:
2016-12-14
影响因子:
4.6
通讯作者:
Dain L
中科院分区:
文献类型:
--
作者:
Bruque CD;Delea M;Fernández CS;Orza JV;Taboas M;Buzzalino N;Espeche LD;Solari A;Luccerini V;Alba L;Nadra AD;Dain L
Congenital adrenal hyperplasia due to 21-hydroxylase deficiency accounts for 90–95% of CAH cases. In this work we performed an extensive survey of mutations and SNPs modifying the coding sequence of the CYP21A2 gene. Using bioinformatic tools and two plausible CYP21A2 structures as templates, we initially classified all known mutants (n = 343) according to their putative functional impacts, which were either reported in the literature or inferred from structural models. We then performed a detailed analysis on the subset of mutations believed to exclusively impact protein stability. For those mutants, the predicted stability was calculated and correlated with the variant’s expected activity. A high concordance was obtained when comparing our predictions with available in vitro residual activities and/or the patient’s phenotype. The predicted stability and derived activity of all reported mutations and SNPs lacking functional assays (n = 108) were assessed. As expected, most of the SNPs (52/76) showed no biological implications. Moreover, this approach was applied to evaluate the putative synergy that could emerge when two mutations occurred in cis. In addition, we propose a putative pathogenic effect of five novel mutations, p.L107Q, p.L122R, p.R132H, p.P335L and p.H466fs, found in 21-hydroxylase deficient patients of our cohort.
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影响因子:
3.2
作者:
Baradaran-Heravi, Alireza;Vakili, Rahim;Abbaszadegan, Mohammad Reza
通讯作者:
Abbaszadegan, Mohammad Reza
影响因子:
5.8
作者:
Deneux, C;Tardy, V;Kuttenn, F
通讯作者:
Kuttenn, F
影响因子:
2.9
作者:
Bronstad, Ingeborg;Breivik, Lars;Husebye, Eystein S.
通讯作者:
Husebye, Eystein S.
DOI:
10.1093/bioinformatics/btq662
发表时间:
2011-02-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Benkert P;Biasini M;Schwede T
通讯作者:
Schwede T
影响因子:
5.3
作者:
Bojunga, J;Welsch, C;Zeuzem, S
通讯作者:
Zeuzem, S