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Investigation of Carbohydrate Recognition via Computer Simulation
Carbohydrate recognition by proteins, such as lectins and other (bio)molecules, can be essential for many biological functions. Recently, interest has arisen due to potential protein and drug design and future bioengineering applications. A quantitative measurement of carbohydrate-protein interactio...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6272577/ https://www.ncbi.nlm.nih.gov/pubmed/25927900 http://dx.doi.org/10.3390/molecules20057700 |
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author | Johnson, Quentin R. Lindsay, Richard J. Petridis, Loukas Shen, Tongye |
author_facet | Johnson, Quentin R. Lindsay, Richard J. Petridis, Loukas Shen, Tongye |
author_sort | Johnson, Quentin R. |
collection | PubMed |
description | Carbohydrate recognition by proteins, such as lectins and other (bio)molecules, can be essential for many biological functions. Recently, interest has arisen due to potential protein and drug design and future bioengineering applications. A quantitative measurement of carbohydrate-protein interaction is thus important for the full characterization of sugar recognition. We focus on the aspect of utilizing computer simulations and biophysical models to evaluate the strength and specificity of carbohydrate recognition in this review. With increasing computational resources, better algorithms and refined modeling parameters, using state-of-the-art supercomputers to calculate the strength of the interaction between molecules has become increasingly mainstream. We review the current state of this technique and its successful applications for studying protein-sugar interactions in recent years. |
format | Online Article Text |
id | pubmed-6272577 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-62725772019-01-07 Investigation of Carbohydrate Recognition via Computer Simulation Johnson, Quentin R. Lindsay, Richard J. Petridis, Loukas Shen, Tongye Molecules Review Carbohydrate recognition by proteins, such as lectins and other (bio)molecules, can be essential for many biological functions. Recently, interest has arisen due to potential protein and drug design and future bioengineering applications. A quantitative measurement of carbohydrate-protein interaction is thus important for the full characterization of sugar recognition. We focus on the aspect of utilizing computer simulations and biophysical models to evaluate the strength and specificity of carbohydrate recognition in this review. With increasing computational resources, better algorithms and refined modeling parameters, using state-of-the-art supercomputers to calculate the strength of the interaction between molecules has become increasingly mainstream. We review the current state of this technique and its successful applications for studying protein-sugar interactions in recent years. MDPI 2015-04-28 /pmc/articles/PMC6272577/ /pubmed/25927900 http://dx.doi.org/10.3390/molecules20057700 Text en © 2015 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 license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Johnson, Quentin R. Lindsay, Richard J. Petridis, Loukas Shen, Tongye Investigation of Carbohydrate Recognition via Computer Simulation |
title | Investigation of Carbohydrate Recognition via Computer Simulation |
title_full | Investigation of Carbohydrate Recognition via Computer Simulation |
title_fullStr | Investigation of Carbohydrate Recognition via Computer Simulation |
title_full_unstemmed | Investigation of Carbohydrate Recognition via Computer Simulation |
title_short | Investigation of Carbohydrate Recognition via Computer Simulation |
title_sort | investigation of carbohydrate recognition via computer simulation |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6272577/ https://www.ncbi.nlm.nih.gov/pubmed/25927900 http://dx.doi.org/10.3390/molecules20057700 |
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