Computational studies of carbohydrate-protein interactions

Molecular modelling techniques have been extensively applied to the elucidation of glycan-protein interactions at the atomic level of several systems with biological and therapeutic interests, and have provided new insights for the understanding of the molecular recognition events underlying the bio...

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Detalles Bibliográficos
Autor: Lacetera, Alessandra
Tipo de recurso: tesis doctoral
Fecha de publicación:2018
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:español
OAI Identifier:oai:docta.ucm.es:20.500.14352/15450
Acceso en línea:https://hdl.handle.net/20.500.14352/15450
Access Level:acceso abierto
Palabra clave:615:54(043.2)
Química farmaceútica
2390 Química Farmacéutica
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spelling Computational studies of carbohydrate-protein interactionsEstudios computacionales de interacciones carbohidrato-proteínaLacetera, Alessandra615:54(043.2)Química farmaceútica2390 Química FarmacéuticaMolecular modelling techniques have been extensively applied to the elucidation of glycan-protein interactions at the atomic level of several systems with biological and therapeutic interests, and have provided new insights for the understanding of the molecular recognition events underlying the biological functions of these systems. In this Thesis, the general objective is to elucidate the carbohydrate-protein interactions at the atomic level through computational techniques. In particular, the following systems have been studied: human galectins -1, -3, and -7, Pisum sativum lectin, Maackia amurensis seed lectin, and glycosyltransferase GalNAc-T2. The final aim is to provide new insights for the understanding of the molecular recognition events underlying the biological functions of these proteins...Universidad Complutense de MadridMartín Santamaría, SonsolesUniversidad Complutense de Madrid20182018-01-1120182018-01-11doctoral thesishttp://purl.org/coar/resource_type/c_db06info:eu-repo/semantics/doctoralThesisapplication/pdfhttps://hdl.handle.net/20.500.14352/15450reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Españolspaopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/154502026-06-02T12:44:21Z
dc.title.none.fl_str_mv Computational studies of carbohydrate-protein interactions
Estudios computacionales de interacciones carbohidrato-proteína
title Computational studies of carbohydrate-protein interactions
spellingShingle Computational studies of carbohydrate-protein interactions
Lacetera, Alessandra
615:54(043.2)
Química farmaceútica
2390 Química Farmacéutica
title_short Computational studies of carbohydrate-protein interactions
title_full Computational studies of carbohydrate-protein interactions
title_fullStr Computational studies of carbohydrate-protein interactions
title_full_unstemmed Computational studies of carbohydrate-protein interactions
title_sort Computational studies of carbohydrate-protein interactions
dc.creator.none.fl_str_mv Lacetera, Alessandra
author Lacetera, Alessandra
author_facet Lacetera, Alessandra
author_role author
dc.contributor.none.fl_str_mv Martín Santamaría, Sonsoles
Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 615:54(043.2)
Química farmaceútica
2390 Química Farmacéutica
topic 615:54(043.2)
Química farmaceútica
2390 Química Farmacéutica
description Molecular modelling techniques have been extensively applied to the elucidation of glycan-protein interactions at the atomic level of several systems with biological and therapeutic interests, and have provided new insights for the understanding of the molecular recognition events underlying the biological functions of these systems. In this Thesis, the general objective is to elucidate the carbohydrate-protein interactions at the atomic level through computational techniques. In particular, the following systems have been studied: human galectins -1, -3, and -7, Pisum sativum lectin, Maackia amurensis seed lectin, and glycosyltransferase GalNAc-T2. The final aim is to provide new insights for the understanding of the molecular recognition events underlying the biological functions of these proteins...
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-11
2018
2018-01-11
dc.type.none.fl_str_mv doctoral thesis
http://purl.org/coar/resource_type/c_db06
dc.type.openaire.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/15450
url https://hdl.handle.net/20.500.14352/15450
dc.language.none.fl_str_mv Español
spa
language_invalid_str_mv Español
language spa
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Complutense de Madrid
publisher.none.fl_str_mv Universidad Complutense de Madrid
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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