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Protein Domain Boundary Predictions: A Structural Biology Perspective
One of the important fields to apply computational tools for domain boundaries prediction is structural biology. They can be used to design protein constructs that must be expressed in a stable and functional form and must produce diffraction-quality crystals. However, prediction of protein domain b...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Bentham Open
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2669640/ https://www.ncbi.nlm.nih.gov/pubmed/19401756 http://dx.doi.org/10.2174/1874091X00903010001 |
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author | Kirillova, Svetlana Kumar, Suresh Carugo, Oliviero |
author_facet | Kirillova, Svetlana Kumar, Suresh Carugo, Oliviero |
author_sort | Kirillova, Svetlana |
collection | PubMed |
description | One of the important fields to apply computational tools for domain boundaries prediction is structural biology. They can be used to design protein constructs that must be expressed in a stable and functional form and must produce diffraction-quality crystals. However, prediction of protein domain boundaries on the basis of amino acid sequences is still very problematical. In present study the performance of several computational approaches are compared. It is observed that the statistical significance of most of the predictions is rather poor. Nevertheless, when the right number of domains is correctly predicted, domain boundaries are predicted within very few residues from their real location. It can be concluded that prediction methods cannot be used yet as routine tools in structural biology, though some of them are rather promising. |
format | Text |
id | pubmed-2669640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Bentham Open |
record_format | MEDLINE/PubMed |
spelling | pubmed-26696402009-04-28 Protein Domain Boundary Predictions: A Structural Biology Perspective Kirillova, Svetlana Kumar, Suresh Carugo, Oliviero Open Biochem J Article One of the important fields to apply computational tools for domain boundaries prediction is structural biology. They can be used to design protein constructs that must be expressed in a stable and functional form and must produce diffraction-quality crystals. However, prediction of protein domain boundaries on the basis of amino acid sequences is still very problematical. In present study the performance of several computational approaches are compared. It is observed that the statistical significance of most of the predictions is rather poor. Nevertheless, when the right number of domains is correctly predicted, domain boundaries are predicted within very few residues from their real location. It can be concluded that prediction methods cannot be used yet as routine tools in structural biology, though some of them are rather promising. Bentham Open 2009-01-21 /pmc/articles/PMC2669640/ /pubmed/19401756 http://dx.doi.org/10.2174/1874091X00903010001 Text en © Kirillova et al.; Licensee Bentham Open. http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited. |
spellingShingle | Article Kirillova, Svetlana Kumar, Suresh Carugo, Oliviero Protein Domain Boundary Predictions: A Structural Biology Perspective |
title | Protein Domain Boundary Predictions: A Structural Biology Perspective |
title_full | Protein Domain Boundary Predictions: A Structural Biology Perspective |
title_fullStr | Protein Domain Boundary Predictions: A Structural Biology Perspective |
title_full_unstemmed | Protein Domain Boundary Predictions: A Structural Biology Perspective |
title_short | Protein Domain Boundary Predictions: A Structural Biology Perspective |
title_sort | protein domain boundary predictions: a structural biology perspective |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2669640/ https://www.ncbi.nlm.nih.gov/pubmed/19401756 http://dx.doi.org/10.2174/1874091X00903010001 |
work_keys_str_mv | AT kirillovasvetlana proteindomainboundarypredictionsastructuralbiologyperspective AT kumarsuresh proteindomainboundarypredictionsastructuralbiologyperspective AT carugooliviero proteindomainboundarypredictionsastructuralbiologyperspective |