Computational study of missense mutations in phenylalanine hydroxylase

Verfasser / Beitragende:
[Kamila Réblová, Petr Kulhánek, Lenka Fajkusová]
Ort, Verlag, Jahr:
2015
Enthalten in:
Journal of Molecular Modeling, 21/4(2015-04-01), 1-10
Format:
Artikel (online)
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024 7 0 |a 10.1007/s00894-015-2620-6  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00894-015-2620-6 
245 0 0 |a Computational study of missense mutations in phenylalanine hydroxylase  |h [Elektronische Daten]  |c [Kamila Réblová, Petr Kulhánek, Lenka Fajkusová] 
520 3 |a Hyperphenylalaninemia (HPA) is one of the most common metabolic disorders. HPA, which is transmitted by an autosomal recessive mode of inheritance, is caused by mutations of the phenylalanine hydroxylase gene. Most mutations are missense and lead to reduced protein stability and/or impaired catalytic function. The impact of such mutations varies, ranging from classical phenylketonuria (PKU), mild PKU, to non-PKU HPA phenotypes. Despite the fact that HPA is a monogenic disease, clinical data show that one PKU genotype can be associated with more in vivo phenotypes, which indicates the role of other (still unknown) factors. To better understand the phenotype-genotype relationships, we analyzed computationally the impact of missense mutations in homozygotes stored in the BIOPKU database. A total of 34 selected homozygous genotypes was divided into two main groups according to their phenotypes: (A) genotypes leading to non-PKU HPA or combined phenotype non-PKU HPA/mild PKU and (B) genotypes leading to classical PKU, mild PKU or combined phenotype mild PKU/classical PKU. Combining in silico analysis and molecular dynamics simulations (in total 3μs) we described the structural impact of the mutations, which allowed us to separate 32 out of 34 mutations between groups A and B. Testing the simulation conditions revealed that the outcome of mutant simulations can be modulated by the ionic strength. We also employed programs SNPs3D, Polyphen-2, and SIFT but based on the predictions performed we were not able to discriminate mutations with mild and severe PKU phenotypes. Graphical Abstract The structural impact of the missense mutations with mild and severe phenotypes in the tetrameric structure of the phenylalanine hydroxylase was analyzed using in silico analysis and molecular dynamics simulations. 
540 |a Springer-Verlag Berlin Heidelberg, 2015 
690 7 |a Genetic disease  |2 nationallicence 
690 7 |a Hyperphenylalaninemia  |2 nationallicence 
690 7 |a Missense mutation  |2 nationallicence 
690 7 |a In silico tool  |2 nationallicence 
690 7 |a Computer simulation  |2 nationallicence 
700 1 |a Réblová  |D Kamila  |u Central European Institute of Technology (CEITEC), Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic  |4 aut 
700 1 |a Kulhánek  |D Petr  |u Central European Institute of Technology (CEITEC), Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic  |4 aut 
700 1 |a Fajkusová  |D Lenka  |u Central European Institute of Technology (CEITEC), Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic  |4 aut 
773 0 |t Journal of Molecular Modeling  |d Springer Berlin Heidelberg  |g 21/4(2015-04-01), 1-10  |x 1610-2940  |q 21:4<1  |1 2015  |2 21  |o 894 
856 4 0 |u https://doi.org/10.1007/s00894-015-2620-6  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00894-015-2620-6  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Réblová  |D Kamila  |u Central European Institute of Technology (CEITEC), Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Kulhánek  |D Petr  |u Central European Institute of Technology (CEITEC), Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Fajkusová  |D Lenka  |u Central European Institute of Technology (CEITEC), Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Journal of Molecular Modeling  |d Springer Berlin Heidelberg  |g 21/4(2015-04-01), 1-10  |x 1610-2940  |q 21:4<1  |1 2015  |2 21  |o 894