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CAMM Techniques for the Prediction of the Mechanical Properties of Tendons and Ligaments Nanostructures

Theoretical prediction of the mechanical properties of soft tissues usually relies on a top-down approach; that is analysis is gradually refined to observe smaller structures and properties until technical limits are reached. Computer-Assisted Molecular Modeling (CAMM) allows for the reversal of thi...

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Detalles Bibliográficos
Autores principales: Vesentini, Simone, Montevecchi, Franco M., Redaelli, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: TheScientificWorldJOURNAL 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5936571/
https://www.ncbi.nlm.nih.gov/pubmed/16075154
http://dx.doi.org/10.1100/tsw.2005.77
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author Vesentini, Simone
Montevecchi, Franco M.
Redaelli, Alberto
author_facet Vesentini, Simone
Montevecchi, Franco M.
Redaelli, Alberto
author_sort Vesentini, Simone
collection PubMed
description Theoretical prediction of the mechanical properties of soft tissues usually relies on a top-down approach; that is analysis is gradually refined to observe smaller structures and properties until technical limits are reached. Computer-Assisted Molecular Modeling (CAMM) allows for the reversal of this approach and the performance of bottom-up modeling instead. The wealth of available sequences and structures provides an enormous database for computational efforts to predict structures, simulate docking and folding processes, simulate molecular interactions, and understand them in quantitative energetic terms. Tendons and ligaments can be considered an ideal arena due to their well defined and highly organized architecture which involves not only the main structural constituent, the collagen molecule, but also other important molecular “actors” such as proteoglycans and glycosaminoglycans. In this ideal arena each structure is well organized and recognizable, and using the molecular modeling tool it is possible to evaluate their mutual interactions and to characterize their mechanical function. Knowledge of these relationships can be useful in understanding connective tissue performance as a result of the cooperation and mutual interaction between different biological structures at the nanoscale.
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spelling pubmed-59365712018-06-03 CAMM Techniques for the Prediction of the Mechanical Properties of Tendons and Ligaments Nanostructures Vesentini, Simone Montevecchi, Franco M. Redaelli, Alberto ScientificWorldJournal Directions in Science Theoretical prediction of the mechanical properties of soft tissues usually relies on a top-down approach; that is analysis is gradually refined to observe smaller structures and properties until technical limits are reached. Computer-Assisted Molecular Modeling (CAMM) allows for the reversal of this approach and the performance of bottom-up modeling instead. The wealth of available sequences and structures provides an enormous database for computational efforts to predict structures, simulate docking and folding processes, simulate molecular interactions, and understand them in quantitative energetic terms. Tendons and ligaments can be considered an ideal arena due to their well defined and highly organized architecture which involves not only the main structural constituent, the collagen molecule, but also other important molecular “actors” such as proteoglycans and glycosaminoglycans. In this ideal arena each structure is well organized and recognizable, and using the molecular modeling tool it is possible to evaluate their mutual interactions and to characterize their mechanical function. Knowledge of these relationships can be useful in understanding connective tissue performance as a result of the cooperation and mutual interaction between different biological structures at the nanoscale. TheScientificWorldJOURNAL 2005-07-22 /pmc/articles/PMC5936571/ /pubmed/16075154 http://dx.doi.org/10.1100/tsw.2005.77 Text en Copyright © 2005 Simone Vesentini et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Directions in Science
Vesentini, Simone
Montevecchi, Franco M.
Redaelli, Alberto
CAMM Techniques for the Prediction of the Mechanical Properties of Tendons and Ligaments Nanostructures
title CAMM Techniques for the Prediction of the Mechanical Properties of Tendons and Ligaments Nanostructures
title_full CAMM Techniques for the Prediction of the Mechanical Properties of Tendons and Ligaments Nanostructures
title_fullStr CAMM Techniques for the Prediction of the Mechanical Properties of Tendons and Ligaments Nanostructures
title_full_unstemmed CAMM Techniques for the Prediction of the Mechanical Properties of Tendons and Ligaments Nanostructures
title_short CAMM Techniques for the Prediction of the Mechanical Properties of Tendons and Ligaments Nanostructures
title_sort camm techniques for the prediction of the mechanical properties of tendons and ligaments nanostructures
topic Directions in Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5936571/
https://www.ncbi.nlm.nih.gov/pubmed/16075154
http://dx.doi.org/10.1100/tsw.2005.77
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