posted on 2020-02-11, 17:04authored byAhmed
F. Roumia, Margarita C. Theodoropoulou, Konstantinos D. Tsirigos, Henrik Nielsen, Pantelis G. Bagos
Even though in the
last few years several families of eukaryotic
β-barrel outer membrane proteins have been discovered, their
computational characterization and their annotation in public databases
are far from complete. The PFAM database includes only very few characteristic
profiles for these families, and in most cases, the profile hidden
Markov models (pHMMs) have been trained using prokaryotic and eukaryotic
proteins together. Here, we present for the first time a comprehensive
computational analysis of eukaryotic transmembrane β-barrels.
Twelve characteristic pHMMs were built, based on an extensive literature
search, which can discriminate eukaryotic β-barrels from other
classes of proteins (globular and bacterial β-barrel ones),
as well as between mitochondrial and chloroplastic ones. We built
eight novel profiles for the chloroplastic β-barrel families
that are not present in the PFAM database and also updated the profile
for the MDM10 family (PF12519) in the PFAM database and divide the
porin family (PF01459) into two separate families, namely, VDAC and
TOM40.