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Three-Dimensional Structures of Carbohydrates and Where to Find Them
Analysis and systematization of accumulated data on carbohydrate structural diversity is a subject of great interest for structural glycobiology. Despite being a challenging task, development of computational methods for efficient treatment and management of spatial (3D) structural features of carbo...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7593929/ https://www.ncbi.nlm.nih.gov/pubmed/33081008 http://dx.doi.org/10.3390/ijms21207702 |
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author | Scherbinina, Sofya I. Toukach, Philip V. |
author_facet | Scherbinina, Sofya I. Toukach, Philip V. |
author_sort | Scherbinina, Sofya I. |
collection | PubMed |
description | Analysis and systematization of accumulated data on carbohydrate structural diversity is a subject of great interest for structural glycobiology. Despite being a challenging task, development of computational methods for efficient treatment and management of spatial (3D) structural features of carbohydrates breaks new ground in modern glycoscience. This review is dedicated to approaches of chemo- and glyco-informatics towards 3D structural data generation, deposition and processing in regard to carbohydrates and their derivatives. Databases, molecular modeling and experimental data validation services, and structure visualization facilities developed for last five years are reviewed. |
format | Online Article Text |
id | pubmed-7593929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75939292020-10-30 Three-Dimensional Structures of Carbohydrates and Where to Find Them Scherbinina, Sofya I. Toukach, Philip V. Int J Mol Sci Review Analysis and systematization of accumulated data on carbohydrate structural diversity is a subject of great interest for structural glycobiology. Despite being a challenging task, development of computational methods for efficient treatment and management of spatial (3D) structural features of carbohydrates breaks new ground in modern glycoscience. This review is dedicated to approaches of chemo- and glyco-informatics towards 3D structural data generation, deposition and processing in regard to carbohydrates and their derivatives. Databases, molecular modeling and experimental data validation services, and structure visualization facilities developed for last five years are reviewed. MDPI 2020-10-18 /pmc/articles/PMC7593929/ /pubmed/33081008 http://dx.doi.org/10.3390/ijms21207702 Text en © 2020 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 | Review Scherbinina, Sofya I. Toukach, Philip V. Three-Dimensional Structures of Carbohydrates and Where to Find Them |
title | Three-Dimensional Structures of Carbohydrates and Where to Find Them |
title_full | Three-Dimensional Structures of Carbohydrates and Where to Find Them |
title_fullStr | Three-Dimensional Structures of Carbohydrates and Where to Find Them |
title_full_unstemmed | Three-Dimensional Structures of Carbohydrates and Where to Find Them |
title_short | Three-Dimensional Structures of Carbohydrates and Where to Find Them |
title_sort | three-dimensional structures of carbohydrates and where to find them |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7593929/ https://www.ncbi.nlm.nih.gov/pubmed/33081008 http://dx.doi.org/10.3390/ijms21207702 |
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