Detecting repetitions and periodicities in proteins by tiling the structural space

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 symmetri...

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Publicado: 2013
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15206106_v117_n42_p12887_Parra
http://hdl.handle.net/20.500.12110/paper_15206106_v117_n42_p12887_Parra
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spelling paper:paper_15206106_v117_n42_p12887_Parra2023-06-08T16:19:08Z Detecting repetitions and periodicities in proteins by tiling the structural space Amino acid sequence Analytical tool Energy landscape Folded structures Protein architectures Protein molecules Structural repeats Structural unit Amino acids Molecules Tools Proteins protein article chemical structure chemistry metabolism protein folding protein motif protein tertiary structure thermodynamics Amino Acid Motifs Models, Molecular Protein Folding Protein Structure, Tertiary Proteins Thermodynamics 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. © 2013 American Chemical Society. 2013 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15206106_v117_n42_p12887_Parra http://hdl.handle.net/20.500.12110/paper_15206106_v117_n42_p12887_Parra
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Amino acid sequence
Analytical tool
Energy landscape
Folded structures
Protein architectures
Protein molecules
Structural repeats
Structural unit
Amino acids
Molecules
Tools
Proteins
protein
article
chemical structure
chemistry
metabolism
protein folding
protein motif
protein tertiary structure
thermodynamics
Amino Acid Motifs
Models, Molecular
Protein Folding
Protein Structure, Tertiary
Proteins
Thermodynamics
spellingShingle Amino acid sequence
Analytical tool
Energy landscape
Folded structures
Protein architectures
Protein molecules
Structural repeats
Structural unit
Amino acids
Molecules
Tools
Proteins
protein
article
chemical structure
chemistry
metabolism
protein folding
protein motif
protein tertiary structure
thermodynamics
Amino Acid Motifs
Models, Molecular
Protein Folding
Protein Structure, Tertiary
Proteins
Thermodynamics
Detecting repetitions and periodicities in proteins by tiling the structural space
topic_facet Amino acid sequence
Analytical tool
Energy landscape
Folded structures
Protein architectures
Protein molecules
Structural repeats
Structural unit
Amino acids
Molecules
Tools
Proteins
protein
article
chemical structure
chemistry
metabolism
protein folding
protein motif
protein tertiary structure
thermodynamics
Amino Acid Motifs
Models, Molecular
Protein Folding
Protein Structure, Tertiary
Proteins
Thermodynamics
description 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. © 2013 American Chemical Society.
title 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_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_sort detecting repetitions and periodicities in proteins by tiling the structural space
publishDate 2013
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15206106_v117_n42_p12887_Parra
http://hdl.handle.net/20.500.12110/paper_15206106_v117_n42_p12887_Parra
_version_ 1768543199927730176