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Verfasst von:Muniz, Joao R. C. [VerfasserIn]   i
 Himmelreich, Nastassja [VerfasserIn]   i
 Blau, Nenad [VerfasserIn]   i
Titel:Role of protein structure in variant annotation
Titelzusatz:structural insight of mutations causing 6-pyruvoyl-tetrahydropterin synthase deficiency
Verf.angabe:Joao R.C. Muniz, Natalie Wing-Sum Szeto, Rebecca Frise, Wen Hwa Lee, Xian-Song Wang, Beat Thöny, Nastassja Himmelreich, Nenad Blau, Kwang-Jen Hsiao, Tze-Tze Liu, Opher Gileadi, Udo Oppermann, Frank Von Delft, Wyatt W. Yue, Nelson Leung-Sang Tang
E-Jahr:2019
Jahr:8 March 2019
Umfang:7 S.
Fussnoten:Gesehen am 24.04.2019
Titel Quelle:Enthalten in: Pathology
Ort Quelle:Amsterdam : Elsevier, 1969
Jahr Quelle:2019
Band/Heft Quelle:51(2019), 3, Seite 274-280
ISSN Quelle:1465-3931
Abstract:Summary - Genetic defects on 6-pyruvoyl-tetrahydropterin synthase (PTPS) are the most prevalent cause of hyperphenylalaninaemia not due to phenylalanine hydrolyase deficiency (phenylketonuria). PTPS catalyses the second step of tetrahydrobiopterin (BH4) cofactor biosynthesis, and its deficiency represents the most common form of BH4 deficiency. Untreated PTPS deficiency results in depletion of the neurotransmitters dopamine, catecholamine and serotonin causing neurological symptoms. We archived reported missense variants of the PTS gene. Common in silico algorithms were used to predict the effects of such variants, and substantial proportions (up to 19%) of the variants were falsely classified as benign or uncertain. We have determined the crystal structure of the human PTPS hexamer, allowing another level of interpretation to understand the potential deleterious consequences of the variants from a structural perspective. The in silico and structure approaches appear to be complimentary and may provide new insights that are not available from each alone. Information from the protein structure suggested that the variants affecting amino acid residues required for interaction between monomeric subunits of the PTPS hexamer were those misclassified as benign by in silico algorithms. Our findings illustrate the important utility of 3D protein structure in interpretation of variants and also current limitations of in silico prediction algorithms. However, software to analyse mutation in the perspective of 3D protein structure is far less readily available than other in silico prediction tools.
DOI:doi:10.1016/j.pathol.2018.11.011
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext ; Verlag: https://doi.org/10.1016/j.pathol.2018.11.011
 Volltext: http://www.sciencedirect.com/science/article/pii/S0031302518304240
 DOI: https://doi.org/10.1016/j.pathol.2018.11.011
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:3D protein structure
 mutation analysis
 OMIM, 261640
 PDB code, 3I2B
 prediction
K10plus-PPN:1663538263
Verknüpfungen:→ Zeitschrift

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