dc.contributor.advisor | Jiménez Oses, Gonzalo | |
dc.contributor.author | Núñez Franco, Reyes | |
dc.date.accessioned | 2024-09-05T17:59:22Z | |
dc.date.available | 2024-09-05T17:59:22Z | |
dc.date.issued | 2024-05-23 | |
dc.date.submitted | 2024-05-23 | |
dc.identifier.uri | http://hdl.handle.net/10810/69439 | |
dc.description | 280 p. | es_ES |
dc.description.abstract | Embark on a dual exploration of carbohydrate recognition by lectins and protein design. This thesis delves into the intricacies of carbohydrate-protein interactions, the enhancement of protein properties, and the optimization of enzyme variants. Discover the potential of a rational deep-learning-based approach, exploring the synergy between theoretical insights and practical applications. Explore the complexities of molecular interactions and design challenges in this comprehensive scientific journey. | es_ES |
dc.language.iso | eng | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | biochemistry | es_ES |
dc.title | Computational Strategies to Explore Glycan Recognition and Protein Design | es_ES |
dc.type | info:eu-repo/semantics/doctoralThesis | es_ES |
dc.rights.holder | (cc) 2024 Reyes Núñez Franco (cc by-nc-nd 4.0) | * |
dc.identifier.studentID | 988485 | es_ES |
dc.identifier.projectID | 22551 | es_ES |
dc.departamentoes | Polímeros y Materiales Avanzados: Física, Química y Tecnología | es_ES |
dc.departamentoeu | Polimero eta Material Aurreratuak: Fisika, Kimika eta Teknologia | es_ES |