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Topography Prediction of Helical Transmembrane Proteins by a New Modification of the Sliding Window Method

Protein functions are specified by its three-dimensional structure, which is usually obtained by X-ray crystallography. Due to difficulty of handling membrane proteins experimentally to date the structure has only been determined for a very limited part of membrane proteins (<4%). Nevertheless, i...

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Detalles Bibliográficos
Autores principales: Simakova, Maria N., Simakov, Nikolai N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4034515/
https://www.ncbi.nlm.nih.gov/pubmed/24900999
http://dx.doi.org/10.1155/2014/921218
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author Simakova, Maria N.
Simakov, Nikolai N.
author_facet Simakova, Maria N.
Simakov, Nikolai N.
author_sort Simakova, Maria N.
collection PubMed
description Protein functions are specified by its three-dimensional structure, which is usually obtained by X-ray crystallography. Due to difficulty of handling membrane proteins experimentally to date the structure has only been determined for a very limited part of membrane proteins (<4%). Nevertheless, investigation of structure and functions of membrane proteins is important for medicine and pharmacology and, therefore, is of significant interest. Methods of computer modeling based on the data on the primary protein structure or the symbolic amino acid sequence have become an actual alternative to the experimental method of X-ray crystallography for investigating the structure of membrane proteins. Here we presented the results of the study of 35 transmembrane proteins, mainly GPCRs, using the novel method of cascade averaging of hydrophobicity function within the limits of a sliding window. The proposed method allowed revealing 139 transmembrane domains out of 140 (or 99.3%) identified by other methods. Also 236 transmembrane domain boundary positions out of 280 (or 84%) were predicted correctly by the proposed method with deviation from the predictions made by other methods that does not exceed the detection error of this method.
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spelling pubmed-40345152014-06-04 Topography Prediction of Helical Transmembrane Proteins by a New Modification of the Sliding Window Method Simakova, Maria N. Simakov, Nikolai N. Biomed Res Int Research Article Protein functions are specified by its three-dimensional structure, which is usually obtained by X-ray crystallography. Due to difficulty of handling membrane proteins experimentally to date the structure has only been determined for a very limited part of membrane proteins (<4%). Nevertheless, investigation of structure and functions of membrane proteins is important for medicine and pharmacology and, therefore, is of significant interest. Methods of computer modeling based on the data on the primary protein structure or the symbolic amino acid sequence have become an actual alternative to the experimental method of X-ray crystallography for investigating the structure of membrane proteins. Here we presented the results of the study of 35 transmembrane proteins, mainly GPCRs, using the novel method of cascade averaging of hydrophobicity function within the limits of a sliding window. The proposed method allowed revealing 139 transmembrane domains out of 140 (or 99.3%) identified by other methods. Also 236 transmembrane domain boundary positions out of 280 (or 84%) were predicted correctly by the proposed method with deviation from the predictions made by other methods that does not exceed the detection error of this method. Hindawi Publishing Corporation 2014 2014-05-11 /pmc/articles/PMC4034515/ /pubmed/24900999 http://dx.doi.org/10.1155/2014/921218 Text en Copyright © 2014 M. N. Simakova and N. N. Simakov. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Simakova, Maria N.
Simakov, Nikolai N.
Topography Prediction of Helical Transmembrane Proteins by a New Modification of the Sliding Window Method
title Topography Prediction of Helical Transmembrane Proteins by a New Modification of the Sliding Window Method
title_full Topography Prediction of Helical Transmembrane Proteins by a New Modification of the Sliding Window Method
title_fullStr Topography Prediction of Helical Transmembrane Proteins by a New Modification of the Sliding Window Method
title_full_unstemmed Topography Prediction of Helical Transmembrane Proteins by a New Modification of the Sliding Window Method
title_short Topography Prediction of Helical Transmembrane Proteins by a New Modification of the Sliding Window Method
title_sort topography prediction of helical transmembrane proteins by a new modification of the sliding window method
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4034515/
https://www.ncbi.nlm.nih.gov/pubmed/24900999
http://dx.doi.org/10.1155/2014/921218
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