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Chanalyzer: A Computational Geometry Approach for the Analysis of Protein Channel Shape and Dynamics

Morphological analysis of protein channels is a key step for a thorough understanding of their biological function and mechanism. In this respect, molecular dynamics (MD) is a very powerful tool, enabling the description of relevant biological events at the atomic level, which might elude experiment...

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Autores principales: Raffo, Andrea, Gagliardi, Luca, Fugacci, Ulderico, Sagresti, Luca, Grandinetti, Simone, Brancato, Giuseppe, Biasotti, Silvia, Rocchia, Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358003/
https://www.ncbi.nlm.nih.gov/pubmed/35959458
http://dx.doi.org/10.3389/fmolb.2022.933924
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author Raffo, Andrea
Gagliardi, Luca
Fugacci, Ulderico
Sagresti, Luca
Grandinetti, Simone
Brancato, Giuseppe
Biasotti, Silvia
Rocchia, Walter
author_facet Raffo, Andrea
Gagliardi, Luca
Fugacci, Ulderico
Sagresti, Luca
Grandinetti, Simone
Brancato, Giuseppe
Biasotti, Silvia
Rocchia, Walter
author_sort Raffo, Andrea
collection PubMed
description Morphological analysis of protein channels is a key step for a thorough understanding of their biological function and mechanism. In this respect, molecular dynamics (MD) is a very powerful tool, enabling the description of relevant biological events at the atomic level, which might elude experimental observations, and pointing to the molecular determinants thereof. In this work, we present a computational geometry-based approach for the characterization of the shape and dynamics of biological ion channels or pores to be used in combination with MD trajectories. This technique relies on the earliest works of Edelsbrunner and on the NanoShaper software, which makes use of the alpha shape theory to build the solvent-excluded surface of a molecular system in an aqueous solution. In this framework, a channel can be simply defined as a cavity with two entrances on the opposite sides of a molecule. Morphological characterization, which includes identification of the main axis, the corresponding local radius, and the detailed description of the global shape of the cavity, is integrated with a physico-chemical description of the surface facing the pore lumen. Remarkably, the possible existence or temporary appearance of fenestrations from the channel interior towards the outer lipid matrix is also accounted for. As a test case, we applied the present approach to the analysis of an engineered protein channel, the mechanosensitive channel of large conductance.
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spelling pubmed-93580032022-08-10 Chanalyzer: A Computational Geometry Approach for the Analysis of Protein Channel Shape and Dynamics Raffo, Andrea Gagliardi, Luca Fugacci, Ulderico Sagresti, Luca Grandinetti, Simone Brancato, Giuseppe Biasotti, Silvia Rocchia, Walter Front Mol Biosci Molecular Biosciences Morphological analysis of protein channels is a key step for a thorough understanding of their biological function and mechanism. In this respect, molecular dynamics (MD) is a very powerful tool, enabling the description of relevant biological events at the atomic level, which might elude experimental observations, and pointing to the molecular determinants thereof. In this work, we present a computational geometry-based approach for the characterization of the shape and dynamics of biological ion channels or pores to be used in combination with MD trajectories. This technique relies on the earliest works of Edelsbrunner and on the NanoShaper software, which makes use of the alpha shape theory to build the solvent-excluded surface of a molecular system in an aqueous solution. In this framework, a channel can be simply defined as a cavity with two entrances on the opposite sides of a molecule. Morphological characterization, which includes identification of the main axis, the corresponding local radius, and the detailed description of the global shape of the cavity, is integrated with a physico-chemical description of the surface facing the pore lumen. Remarkably, the possible existence or temporary appearance of fenestrations from the channel interior towards the outer lipid matrix is also accounted for. As a test case, we applied the present approach to the analysis of an engineered protein channel, the mechanosensitive channel of large conductance. Frontiers Media S.A. 2022-07-25 /pmc/articles/PMC9358003/ /pubmed/35959458 http://dx.doi.org/10.3389/fmolb.2022.933924 Text en Copyright © 2022 Raffo, Gagliardi, Fugacci, Sagresti, Grandinetti, Brancato, Biasotti and Rocchia. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Raffo, Andrea
Gagliardi, Luca
Fugacci, Ulderico
Sagresti, Luca
Grandinetti, Simone
Brancato, Giuseppe
Biasotti, Silvia
Rocchia, Walter
Chanalyzer: A Computational Geometry Approach for the Analysis of Protein Channel Shape and Dynamics
title Chanalyzer: A Computational Geometry Approach for the Analysis of Protein Channel Shape and Dynamics
title_full Chanalyzer: A Computational Geometry Approach for the Analysis of Protein Channel Shape and Dynamics
title_fullStr Chanalyzer: A Computational Geometry Approach for the Analysis of Protein Channel Shape and Dynamics
title_full_unstemmed Chanalyzer: A Computational Geometry Approach for the Analysis of Protein Channel Shape and Dynamics
title_short Chanalyzer: A Computational Geometry Approach for the Analysis of Protein Channel Shape and Dynamics
title_sort chanalyzer: a computational geometry approach for the analysis of protein channel shape and dynamics
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358003/
https://www.ncbi.nlm.nih.gov/pubmed/35959458
http://dx.doi.org/10.3389/fmolb.2022.933924
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