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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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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. |
format | Online Article Text |
id | pubmed-4034515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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