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Title: Deciphering host-pathogen interactions at the biomembrane interface, key to target therapeutical approaches against Mycoplasma genitalium
Author: Macip Sancho, Guillem
Director: Ventura Royo, Carles  
Tutor: Villanueva Cañas, José Luis
Perálvarez Marín, Alex
Keywords: therapeutical target
Mycoplasma genitalium
host-pathogen interactions
Issue Date: Jun-2019
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: Mycoplasma genitalium is a pathologic bacterium that lives in the epithelial cells of the urogenital tracts in humans. It is a sexually transmitted infection with a prevalence that increases drastically. It presents resistance to an increasing number of antibiotics, rendering the most reliable treatment (azithromycin) ineffective. The focus of this project is to find likely therapeutical targets against the infection by M.genitalium to Homo sapiens. For this regard, we analyse the membrane proteome of several strains and near species of M.genitalium and calculate their evolutionary rate. In this project we choose 54 membrane proteomes (5 from M.genitalium and 49 from M.pneumoniae) compromised of 78 to 93 and 116 to 137 proteins respectively. They were inputted to an orthology predictor to obtain groups of orthologous proteins. Those that contained M.genitalium proteins (97 from 136) were aligned and then analysed looking specifically for gaps and identity between the sequences. Of the 97, it was finally decided that 25 were fitted to calculate the nonsynonymous (amino acid¿altering) to synonymous (silent) substitution ratio (dN/dS). We also did a parallel research inside a host-pathogen interaction database with two different approaches. The first consisted in contrasting the data inside the database regarding M.pneumoniae to M.genitalium proteins with a BLAST. The second consisted in submitting the canonical membrane proteome of M.genitalium (G37). With these three approaches, we obtained a total 34 possible targets: 4 from the dN/dS calculation, 7 from proteins exclusive to M.genitalium, 11 from the first approach to the database and 13 from the second.
Language: English
Appears in Collections:Bachelor thesis, research projects, etc.

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