SURF1 i AlphaFold2: desxifrant la síndrome de Leigh: la utilitat de la biologia estructural i la bioinformàtica demostrada a través de l'estudi estructural i filogenètic in silico de la proteïna SURF1

Plans Gandia, Laia

SURF1 i AlphaFold2: desxifrant la síndrome de Leigh: la utilitat de la biologia estructural i la bioinformàtica demostrada a través de l'estudi estructural i filogenètic in silico de la proteïna SURF1

Citation

Plans Gandia, L. SURF1 i AlphaFold2: desxifrant la síndrome de Leigh: la utilitat de la biologia estructural i la bioinformàtica demostrada a través de l'estudi estructural i filogenètic in silico de la proteïna SURF1. 2024. handle: http://hdl.handle.net/10230/59893

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Abstract

During the last years, the field of bioinformatics has evolved at a frenetic pace, producing new programmes able to store data or predict protein structures or sequences. This research aims to prove the potential of this new technology carrying on a bioinformatics research which analyzes the protein whose mutations cause the Leigh syndrome, SURF1, using the prediction computational approach AlphaFold2 to obtain structural information about the molecular basis of the disease to finally set that a specific mutation disturbs the interaction between SURF1 and COX1. Using a structural approach to study the impact of mutations in SURF1 provides useful information to perform in vitro and in vivo studies and proves the vast potential that this technology has.