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Detecting Repetitions and Periodicities in Proteins by Tiling the Structural Space

[Image: see text] The notion of energy landscapes provides conceptual tools for understanding the complexities of protein folding and function. Energy landscape theory indicates that it is much easier to find sequences that satisfy the “Principle of Minimal Frustration” when the folded structure is...

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Autores principales: Parra, R. Gonzalo, Espada, Rocío, Sánchez, Ignacio E., Sippl, Manfred J., Ferreiro, Diego U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2013
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3807821/
https://www.ncbi.nlm.nih.gov/pubmed/23758291
http://dx.doi.org/10.1021/jp402105j
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author Parra, R. Gonzalo
Espada, Rocío
Sánchez, Ignacio E.
Sippl, Manfred J.
Ferreiro, Diego U.
author_facet Parra, R. Gonzalo
Espada, Rocío
Sánchez, Ignacio E.
Sippl, Manfred J.
Ferreiro, Diego U.
author_sort Parra, R. Gonzalo
collection PubMed
description [Image: see text] The notion of energy landscapes provides conceptual tools for understanding the complexities of protein folding and function. Energy landscape theory indicates that it is much easier to find sequences that satisfy the “Principle of Minimal Frustration” when the folded structure is symmetric (Wolynes, P. G. Symmetry and the Energy Landscapes of Biomolecules. Proc. Natl. Acad. Sci. U.S.A.1996, 93, 14249–14255). Similarly, repeats and structural mosaics may be fundamentally related to landscapes with multiple embedded funnels. Here we present analytical tools to detect and compare structural repetitions in protein molecules. By an exhaustive analysis of the distribution of structural repeats using a robust metric, we define those portions of a protein molecule that best describe the overall structure as a tessellation of basic units. The patterns produced by such tessellations provide intuitive representations of the repeating regions and their association toward higher order arrangements. We find that some protein architectures can be described as nearly periodic, while in others clear separations between repetitions exist. Since the method is independent of amino acid sequence information, we can identify structural units that can be encoded by a variety of distinct amino acid sequences.
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spelling pubmed-38078212013-10-28 Detecting Repetitions and Periodicities in Proteins by Tiling the Structural Space Parra, R. Gonzalo Espada, Rocío Sánchez, Ignacio E. Sippl, Manfred J. Ferreiro, Diego U. J Phys Chem B [Image: see text] The notion of energy landscapes provides conceptual tools for understanding the complexities of protein folding and function. Energy landscape theory indicates that it is much easier to find sequences that satisfy the “Principle of Minimal Frustration” when the folded structure is symmetric (Wolynes, P. G. Symmetry and the Energy Landscapes of Biomolecules. Proc. Natl. Acad. Sci. U.S.A.1996, 93, 14249–14255). Similarly, repeats and structural mosaics may be fundamentally related to landscapes with multiple embedded funnels. Here we present analytical tools to detect and compare structural repetitions in protein molecules. By an exhaustive analysis of the distribution of structural repeats using a robust metric, we define those portions of a protein molecule that best describe the overall structure as a tessellation of basic units. The patterns produced by such tessellations provide intuitive representations of the repeating regions and their association toward higher order arrangements. We find that some protein architectures can be described as nearly periodic, while in others clear separations between repetitions exist. Since the method is independent of amino acid sequence information, we can identify structural units that can be encoded by a variety of distinct amino acid sequences. American Chemical Society 2013-06-11 2013-10-24 /pmc/articles/PMC3807821/ /pubmed/23758291 http://dx.doi.org/10.1021/jp402105j Text en Copyright © 2013 American Chemical Society Terms of Use (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html)
spellingShingle Parra, R. Gonzalo
Espada, Rocío
Sánchez, Ignacio E.
Sippl, Manfred J.
Ferreiro, Diego U.
Detecting Repetitions and Periodicities in Proteins by Tiling the Structural Space
title Detecting Repetitions and Periodicities in Proteins by Tiling the Structural Space
title_full Detecting Repetitions and Periodicities in Proteins by Tiling the Structural Space
title_fullStr Detecting Repetitions and Periodicities in Proteins by Tiling the Structural Space
title_full_unstemmed Detecting Repetitions and Periodicities in Proteins by Tiling the Structural Space
title_short Detecting Repetitions and Periodicities in Proteins by Tiling the Structural Space
title_sort detecting repetitions and periodicities in proteins by tiling the structural space
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3807821/
https://www.ncbi.nlm.nih.gov/pubmed/23758291
http://dx.doi.org/10.1021/jp402105j
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