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Structural bioinformatics of the human spliceosomal proteome

In this work, we describe the results of a comprehensive structural bioinformatics analysis of the spliceosomal proteome. We used fold recognition analysis to complement prior data on the ordered domains of 252 human splicing proteins. Examples of newly identified domains include a PWI domain in the...

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Autores principales: Korneta, Iga, Magnus, Marcin, Bujnicki, Janusz M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3424538/
https://www.ncbi.nlm.nih.gov/pubmed/22573172
http://dx.doi.org/10.1093/nar/gks347
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author Korneta, Iga
Magnus, Marcin
Bujnicki, Janusz M.
author_facet Korneta, Iga
Magnus, Marcin
Bujnicki, Janusz M.
author_sort Korneta, Iga
collection PubMed
description In this work, we describe the results of a comprehensive structural bioinformatics analysis of the spliceosomal proteome. We used fold recognition analysis to complement prior data on the ordered domains of 252 human splicing proteins. Examples of newly identified domains include a PWI domain in the U5 snRNP protein 200K (hBrr2, residues 258–338), while examples of previously known domains with a newly determined fold include the DUF1115 domain of the U4/U6 di-snRNP protein 90K (hPrp3, residues 540–683). We also established a non-redundant set of experimental models of spliceosomal proteins, as well as constructed in silico models for regions without an experimental structure. The combined set of structural models is available for download. Altogether, over 90% of the ordered regions of the spliceosomal proteome can be represented structurally with a high degree of confidence. We analyzed the reduced spliceosomal proteome of the intron-poor organism Giardia lamblia, and as a result, we proposed a candidate set of ordered structural regions necessary for a functional spliceosome. The results of this work will aid experimental and structural analyses of the spliceosomal proteins and complexes, and can serve as a starting point for multiscale modeling of the structure of the entire spliceosome.
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spelling pubmed-34245382012-08-22 Structural bioinformatics of the human spliceosomal proteome Korneta, Iga Magnus, Marcin Bujnicki, Janusz M. Nucleic Acids Res Computational Biology In this work, we describe the results of a comprehensive structural bioinformatics analysis of the spliceosomal proteome. We used fold recognition analysis to complement prior data on the ordered domains of 252 human splicing proteins. Examples of newly identified domains include a PWI domain in the U5 snRNP protein 200K (hBrr2, residues 258–338), while examples of previously known domains with a newly determined fold include the DUF1115 domain of the U4/U6 di-snRNP protein 90K (hPrp3, residues 540–683). We also established a non-redundant set of experimental models of spliceosomal proteins, as well as constructed in silico models for regions without an experimental structure. The combined set of structural models is available for download. Altogether, over 90% of the ordered regions of the spliceosomal proteome can be represented structurally with a high degree of confidence. We analyzed the reduced spliceosomal proteome of the intron-poor organism Giardia lamblia, and as a result, we proposed a candidate set of ordered structural regions necessary for a functional spliceosome. The results of this work will aid experimental and structural analyses of the spliceosomal proteins and complexes, and can serve as a starting point for multiscale modeling of the structure of the entire spliceosome. Oxford University Press 2012-08 2012-05-09 /pmc/articles/PMC3424538/ /pubmed/22573172 http://dx.doi.org/10.1093/nar/gks347 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed 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 original work is properly cited.
spellingShingle Computational Biology
Korneta, Iga
Magnus, Marcin
Bujnicki, Janusz M.
Structural bioinformatics of the human spliceosomal proteome
title Structural bioinformatics of the human spliceosomal proteome
title_full Structural bioinformatics of the human spliceosomal proteome
title_fullStr Structural bioinformatics of the human spliceosomal proteome
title_full_unstemmed Structural bioinformatics of the human spliceosomal proteome
title_short Structural bioinformatics of the human spliceosomal proteome
title_sort structural bioinformatics of the human spliceosomal proteome
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3424538/
https://www.ncbi.nlm.nih.gov/pubmed/22573172
http://dx.doi.org/10.1093/nar/gks347
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