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Exploring Protein Cavities through Rigidity Analysis

The geometry of cavities in the surfaces of proteins facilitates a variety of biochemical functions. To better understand the biochemical nature of protein cavities, the shape, size, chemical properties, and evolutionary nature of functional and nonfunctional surface cavities have been exhaustively...

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Detalles Bibliográficos
Autores principales: Mason, Stephanie, Chen, Brian Y., Jagodzinski, Filip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6017401/
https://www.ncbi.nlm.nih.gov/pubmed/29414909
http://dx.doi.org/10.3390/molecules23020351
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author Mason, Stephanie
Chen, Brian Y.
Jagodzinski, Filip
author_facet Mason, Stephanie
Chen, Brian Y.
Jagodzinski, Filip
author_sort Mason, Stephanie
collection PubMed
description The geometry of cavities in the surfaces of proteins facilitates a variety of biochemical functions. To better understand the biochemical nature of protein cavities, the shape, size, chemical properties, and evolutionary nature of functional and nonfunctional surface cavities have been exhaustively surveyed in protein structures. The rigidity of surface cavities, however, is not immediately available as a characteristic of structure data, and is thus more difficult to examine. Using rigidity analysis for assessing and analyzing molecular rigidity, this paper performs the first survey of the relationships between cavity properties, such as size and residue content, and how they correspond to cavity rigidity. Our survey measured a variety of rigidity metrics on 120,323 cavities from 12,785 sequentially non-redundant protein chains. We used VASP-E, a volume-based algorithm for analyzing cavity geometry. Our results suggest that rigidity properties of protein cavities are dependent on cavity surface area.
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spelling pubmed-60174012018-11-13 Exploring Protein Cavities through Rigidity Analysis Mason, Stephanie Chen, Brian Y. Jagodzinski, Filip Molecules Article The geometry of cavities in the surfaces of proteins facilitates a variety of biochemical functions. To better understand the biochemical nature of protein cavities, the shape, size, chemical properties, and evolutionary nature of functional and nonfunctional surface cavities have been exhaustively surveyed in protein structures. The rigidity of surface cavities, however, is not immediately available as a characteristic of structure data, and is thus more difficult to examine. Using rigidity analysis for assessing and analyzing molecular rigidity, this paper performs the first survey of the relationships between cavity properties, such as size and residue content, and how they correspond to cavity rigidity. Our survey measured a variety of rigidity metrics on 120,323 cavities from 12,785 sequentially non-redundant protein chains. We used VASP-E, a volume-based algorithm for analyzing cavity geometry. Our results suggest that rigidity properties of protein cavities are dependent on cavity surface area. MDPI 2018-02-07 /pmc/articles/PMC6017401/ /pubmed/29414909 http://dx.doi.org/10.3390/molecules23020351 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mason, Stephanie
Chen, Brian Y.
Jagodzinski, Filip
Exploring Protein Cavities through Rigidity Analysis
title Exploring Protein Cavities through Rigidity Analysis
title_full Exploring Protein Cavities through Rigidity Analysis
title_fullStr Exploring Protein Cavities through Rigidity Analysis
title_full_unstemmed Exploring Protein Cavities through Rigidity Analysis
title_short Exploring Protein Cavities through Rigidity Analysis
title_sort exploring protein cavities through rigidity analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6017401/
https://www.ncbi.nlm.nih.gov/pubmed/29414909
http://dx.doi.org/10.3390/molecules23020351
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