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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| 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 |
| Sumario: | 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... |
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