Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier

<p>Abstract</p> <p>Background</p> <p>Membrane proteins are estimated to represent about 25% of open reading frames in fully sequenced genomes. However, the experimental study of proteins remains difficult. Considerable efforts have thus been made to develop prediction m...

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Main Authors: Deléage Gilbert, Guermeur Yann, Sapay Nicolas
Format: Article
Language:English
Published: BMC 2006-05-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/7/255
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spelling doaj-b58a1299a0bd40b7900e0b873a766f6e2020-11-25T01:41:57ZengBMCBMC Bioinformatics1471-21052006-05-017125510.1186/1471-2105-7-255Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifierDeléage GilbertGuermeur YannSapay Nicolas<p>Abstract</p> <p>Background</p> <p>Membrane proteins are estimated to represent about 25% of open reading frames in fully sequenced genomes. However, the experimental study of proteins remains difficult. Considerable efforts have thus been made to develop prediction methods. Most of these were conceived to detect transmembrane helices in polytopic proteins. Alternatively, a membrane protein can be monotopic and anchored <it>via </it>an amphipathic helix inserted in a parallel way to the membrane interface, so-called in-plane membrane (IPM) anchors. This type of membrane anchor is still poorly understood and no suitable prediction method is currently available.</p> <p>Results</p> <p>We report here the "AmphipaSeeK" method developed to predict IPM anchors. It uses a set of 21 reported examples of IPM anchored proteins. The method is based on a pattern recognition Support Vector Machine with a dedicated kernel.</p> <p>Conclusion</p> <p>AmphipaSeeK was shown to be highly specific, in contrast with classically used methods (<it>e.g</it>. hydrophobic moment). Additionally, it has been able to retrieve IPM anchors in naively tested sets of transmembrane proteins (<it>e.g</it>. PagP). AmphipaSeek and the list of the 21 IPM anchored proteins is available on NPS@, our protein sequence analysis server.</p> http://www.biomedcentral.com/1471-2105/7/255
collection DOAJ
language English
format Article
sources DOAJ
author Deléage Gilbert
Guermeur Yann
Sapay Nicolas
spellingShingle Deléage Gilbert
Guermeur Yann
Sapay Nicolas
Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier
BMC Bioinformatics
author_facet Deléage Gilbert
Guermeur Yann
Sapay Nicolas
author_sort Deléage Gilbert
title Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier
title_short Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier
title_full Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier
title_fullStr Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier
title_full_unstemmed Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier
title_sort prediction of amphipathic in-plane membrane anchors in monotopic proteins using a svm classifier
publisher BMC
series BMC Bioinformatics
issn 1471-2105
publishDate 2006-05-01
description <p>Abstract</p> <p>Background</p> <p>Membrane proteins are estimated to represent about 25% of open reading frames in fully sequenced genomes. However, the experimental study of proteins remains difficult. Considerable efforts have thus been made to develop prediction methods. Most of these were conceived to detect transmembrane helices in polytopic proteins. Alternatively, a membrane protein can be monotopic and anchored <it>via </it>an amphipathic helix inserted in a parallel way to the membrane interface, so-called in-plane membrane (IPM) anchors. This type of membrane anchor is still poorly understood and no suitable prediction method is currently available.</p> <p>Results</p> <p>We report here the "AmphipaSeeK" method developed to predict IPM anchors. It uses a set of 21 reported examples of IPM anchored proteins. The method is based on a pattern recognition Support Vector Machine with a dedicated kernel.</p> <p>Conclusion</p> <p>AmphipaSeeK was shown to be highly specific, in contrast with classically used methods (<it>e.g</it>. hydrophobic moment). Additionally, it has been able to retrieve IPM anchors in naively tested sets of transmembrane proteins (<it>e.g</it>. PagP). AmphipaSeek and the list of the 21 IPM anchored proteins is available on NPS@, our protein sequence analysis server.</p>
url http://www.biomedcentral.com/1471-2105/7/255
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AT sapaynicolas predictionofamphipathicinplanemembraneanchorsinmonotopicproteinsusingasvmclassifier
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