Computational Strategies to Explore Glycan Recognition and Protein Design

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

Except where otherwise noted, this item's license is described as (cc) 2024 Reyes Núñez Franco (cc by-nc-nd 4.0)