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Computational Analysis of Position-dependent Disorder Content in DisProt Database
A bioinformatics analysis of disorder content of proteins from the DisProt database has been performed with respect to position of disordered residues. Each protein chain was divided into three parts: N- and C- terminal parts with each containing 30 amino acid (AA) residues and the middle region con...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Elsevier
2012
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056116/ https://www.ncbi.nlm.nih.gov/pubmed/22917189 http://dx.doi.org/10.1016/j.gpb.2012.01.002 |
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author | Kovačević, Jovana J. |
author_facet | Kovačević, Jovana J. |
author_sort | Kovačević, Jovana J. |
collection | PubMed |
description | A bioinformatics analysis of disorder content of proteins from the DisProt database has been performed with respect to position of disordered residues. Each protein chain was divided into three parts: N- and C- terminal parts with each containing 30 amino acid (AA) residues and the middle region containing the remaining AA residues. The results show that in terminal parts, the percentage of disordered AA residues is higher than that of all AA residues (17% of disordered AA residues and 11% of all). We analyzed the percentage of disorder for each of 20 AA residues in the three parts of proteins with respect to their hydropathy and molecular weight. For each AA, the percentage of disorder in the middle part is lower than that in terminal parts which is comparable at the two termini. A new scale of AAs has been introduced according to their disorder content in the middle part of proteins: CIFWMLYHRNVTAGQDSKEP. All big hydrophobic AAs are less frequently disordered, while almost all small hydrophilic AAs are more frequently disordered. The results obtained may be useful for construction and improving predictors for protein disorder. |
format | Online Article Text |
id | pubmed-5056116 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-50561162016-10-14 Computational Analysis of Position-dependent Disorder Content in DisProt Database Kovačević, Jovana J. Genomics Proteomics Bioinformatics Original Research A bioinformatics analysis of disorder content of proteins from the DisProt database has been performed with respect to position of disordered residues. Each protein chain was divided into three parts: N- and C- terminal parts with each containing 30 amino acid (AA) residues and the middle region containing the remaining AA residues. The results show that in terminal parts, the percentage of disordered AA residues is higher than that of all AA residues (17% of disordered AA residues and 11% of all). We analyzed the percentage of disorder for each of 20 AA residues in the three parts of proteins with respect to their hydropathy and molecular weight. For each AA, the percentage of disorder in the middle part is lower than that in terminal parts which is comparable at the two termini. A new scale of AAs has been introduced according to their disorder content in the middle part of proteins: CIFWMLYHRNVTAGQDSKEP. All big hydrophobic AAs are less frequently disordered, while almost all small hydrophilic AAs are more frequently disordered. The results obtained may be useful for construction and improving predictors for protein disorder. Elsevier 2012-06 2012-06-25 /pmc/articles/PMC5056116/ /pubmed/22917189 http://dx.doi.org/10.1016/j.gpb.2012.01.002 Text en © 2012 Beijing Institute of Genomics, Chinese Academy of Sciences and Genetics Society of China. Published by Elsevier Ltd and Science Press. All rights reserved. http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/). |
spellingShingle | Original Research Kovačević, Jovana J. Computational Analysis of Position-dependent Disorder Content in DisProt Database |
title | Computational Analysis of Position-dependent Disorder Content in DisProt Database |
title_full | Computational Analysis of Position-dependent Disorder Content in DisProt Database |
title_fullStr | Computational Analysis of Position-dependent Disorder Content in DisProt Database |
title_full_unstemmed | Computational Analysis of Position-dependent Disorder Content in DisProt Database |
title_short | Computational Analysis of Position-dependent Disorder Content in DisProt Database |
title_sort | computational analysis of position-dependent disorder content in disprot database |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056116/ https://www.ncbi.nlm.nih.gov/pubmed/22917189 http://dx.doi.org/10.1016/j.gpb.2012.01.002 |
work_keys_str_mv | AT kovacevicjovanaj computationalanalysisofpositiondependentdisordercontentindisprotdatabase |