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Computational toolbox towards evolutionary domain mapping of membrane proteins
Crespi i Boixader, Alba
Universitat de Vic. Escola Politècnica Superior; Universitat de Vic. Màster Universitari en Anàlisi de Dades Òmiques
Membrane proteins account for about 20% to 30% of all proteins encoded in a typical genome. They play central roles in multiple cellular processes mediating the interaction of the cell with its surrounding. Over 60% of all drug targets contain a membrane domain. The experimental difficulties of obtaining a crystal structural severely limits our ability or understanding of membrane protein function. Computational evolutionary studies of proteins are crucial for the prediction of 3D structures. In this project, we construct a tool able to quantify the evolutionary positive selective pressure on each residue of membrane proteins through maximum likelihood phylogeny reconstruction. The conservation plot combined with a structural homology model is also a potent tool to predict those residues that have essentials roles in the structure and function of a membrane protein and can be very useful in the design of validation experiments.
Curs 2012-2013
2014-01
Proteïnes de membrana
Genomes
Interacció cel·lular
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21 p.
info:eu-repo/semantics/masterThesis
         

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