Functional and genomic analyses of alpha-solenoid proteins.

Alpha-solenoids are flexible protein structural domains formed by ensembles of alpha-helical repeats (Armadillo and HEAT repeats among others). While homology can be used to detect many of these repeats, some alpha-solenoids have very little sequence homology to proteins of known structure and we ex...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: David Fournier, Gareth A Palidwor, Sergey Shcherbinin, Angelika Szengel, Martin H Schaefer, Carol Perez-Iratxeta, Miguel A Andrade-Navarro
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2013
Materias:
R
Q
Acceso en línea:https://doaj.org/article/88a72ad9995a458a8a90390d1b8e954e
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:88a72ad9995a458a8a90390d1b8e954e
record_format dspace
spelling oai:doaj.org-article:88a72ad9995a458a8a90390d1b8e954e2021-11-18T08:45:17ZFunctional and genomic analyses of alpha-solenoid proteins.1932-620310.1371/journal.pone.0079894https://doaj.org/article/88a72ad9995a458a8a90390d1b8e954e2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24278209/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Alpha-solenoids are flexible protein structural domains formed by ensembles of alpha-helical repeats (Armadillo and HEAT repeats among others). While homology can be used to detect many of these repeats, some alpha-solenoids have very little sequence homology to proteins of known structure and we expect that many remain undetected. We previously developed a method for detection of alpha-helical repeats based on a neural network trained on a dataset of protein structures. Here we improved the detection algorithm and updated the training dataset using recently solved structures of alpha-solenoids. Unexpectedly, we identified occurrences of alpha-solenoids in solved protein structures that escaped attention, for example within the core of the catalytic subunit of PI3KC. Our results expand the current set of known alpha-solenoids. Application of our tool to the protein universe allowed us to detect their significant enrichment in proteins interacting with many proteins, confirming that alpha-solenoids are generally involved in protein-protein interactions. We then studied the taxonomic distribution of alpha-solenoids to discuss an evolutionary scenario for the emergence of this type of domain, speculating that alpha-solenoids have emerged in multiple taxa in independent events by convergent evolution. We observe a higher rate of alpha-solenoids in eukaryotic genomes and in some prokaryotic families, such as Cyanobacteria and Planctomycetes, which could be associated to increased cellular complexity. The method is available at http://cbdm.mdc-berlin.de/~ard2/.David FournierGareth A PalidworSergey ShcherbininAngelika SzengelMartin H SchaeferCarol Perez-IratxetaMiguel A Andrade-NavarroPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 11, p e79894 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
David Fournier
Gareth A Palidwor
Sergey Shcherbinin
Angelika Szengel
Martin H Schaefer
Carol Perez-Iratxeta
Miguel A Andrade-Navarro
Functional and genomic analyses of alpha-solenoid proteins.
description Alpha-solenoids are flexible protein structural domains formed by ensembles of alpha-helical repeats (Armadillo and HEAT repeats among others). While homology can be used to detect many of these repeats, some alpha-solenoids have very little sequence homology to proteins of known structure and we expect that many remain undetected. We previously developed a method for detection of alpha-helical repeats based on a neural network trained on a dataset of protein structures. Here we improved the detection algorithm and updated the training dataset using recently solved structures of alpha-solenoids. Unexpectedly, we identified occurrences of alpha-solenoids in solved protein structures that escaped attention, for example within the core of the catalytic subunit of PI3KC. Our results expand the current set of known alpha-solenoids. Application of our tool to the protein universe allowed us to detect their significant enrichment in proteins interacting with many proteins, confirming that alpha-solenoids are generally involved in protein-protein interactions. We then studied the taxonomic distribution of alpha-solenoids to discuss an evolutionary scenario for the emergence of this type of domain, speculating that alpha-solenoids have emerged in multiple taxa in independent events by convergent evolution. We observe a higher rate of alpha-solenoids in eukaryotic genomes and in some prokaryotic families, such as Cyanobacteria and Planctomycetes, which could be associated to increased cellular complexity. The method is available at http://cbdm.mdc-berlin.de/~ard2/.
format article
author David Fournier
Gareth A Palidwor
Sergey Shcherbinin
Angelika Szengel
Martin H Schaefer
Carol Perez-Iratxeta
Miguel A Andrade-Navarro
author_facet David Fournier
Gareth A Palidwor
Sergey Shcherbinin
Angelika Szengel
Martin H Schaefer
Carol Perez-Iratxeta
Miguel A Andrade-Navarro
author_sort David Fournier
title Functional and genomic analyses of alpha-solenoid proteins.
title_short Functional and genomic analyses of alpha-solenoid proteins.
title_full Functional and genomic analyses of alpha-solenoid proteins.
title_fullStr Functional and genomic analyses of alpha-solenoid proteins.
title_full_unstemmed Functional and genomic analyses of alpha-solenoid proteins.
title_sort functional and genomic analyses of alpha-solenoid proteins.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/88a72ad9995a458a8a90390d1b8e954e
work_keys_str_mv AT davidfournier functionalandgenomicanalysesofalphasolenoidproteins
AT garethapalidwor functionalandgenomicanalysesofalphasolenoidproteins
AT sergeyshcherbinin functionalandgenomicanalysesofalphasolenoidproteins
AT angelikaszengel functionalandgenomicanalysesofalphasolenoidproteins
AT martinhschaefer functionalandgenomicanalysesofalphasolenoidproteins
AT carolpereziratxeta functionalandgenomicanalysesofalphasolenoidproteins
AT miguelaandradenavarro functionalandgenomicanalysesofalphasolenoidproteins
_version_ 1718421332331331584