Carregant...
Tipus de document
Treball de fi de grauData de publicació
Llicència de publicació
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/188762
Graph-based coevolutionary approach on SARS-CoV-2 spike protein
Títol de la revista
Autors
Director/Tutor
ISSN de la revista
Títol del volum
Recurs relacionat
Resum
Amino acids that coevolve can be indicative of functionality, so coevolution-based methods can be used to detect important amino acids in proteins, known as hotspots. Here, we apply a recently published method based on network metrics and coevolutionary information to detect functional hotspots in the SARS-CoV-2 spike protein. We found 275 potential hotspots withavailable experimental information in the literature for 4 of them, for example, position 614 (ASP), known to increment the infectivity of SARS-CoV-2 towards human host cells. In addition, a hotspot enrichment analysis was performed, as well as a study of the relative solvent accessibility of hotspot versus non-hotspot positions for the receptor binding domain. The hotspots showed less surface area available when bound to the human receptor compared to when not bound, which does not occur for non-hotspot positions, indicating that the hotspots obtained may be important for the binding
of the spike protein to the receptor of the host cell
Descripció
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2022, Tutores: Marta Ibañes, Camila Pontes, Victoria Ruiz
Matèries
Matèries (anglès)
Citació
Col·leccions
Citació
NOVELL MAZZARA, Alice. Graph-based coevolutionary approach on SARS-CoV-2 spike protein. [consulta: 24 de gener de 2026]. [Disponible a: https://hdl.handle.net/2445/188762]