Landscape of Eukaryotic Transmembrane Beta Barrel Proteins

Research output: Contribution to journalJournal articleResearchpeer-review

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Landscape of Eukaryotic Transmembrane Beta Barrel Proteins. / Roumia, Ahmed F.; Theodoropoulou, Margarita C.; Tsirigos, Konstantinos D.; Nielsen, Henrik; Bagos, Pantelis G.

In: Journal of Proteome Research, Vol. 19, No. 3, 2020, p. 1209-1221.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Roumia, AF, Theodoropoulou, MC, Tsirigos, KD, Nielsen, H & Bagos, PG 2020, 'Landscape of Eukaryotic Transmembrane Beta Barrel Proteins', Journal of Proteome Research, vol. 19, no. 3, pp. 1209-1221. https://doi.org/10.1021/acs.jproteome.9b00740

APA

Roumia, A. F., Theodoropoulou, M. C., Tsirigos, K. D., Nielsen, H., & Bagos, P. G. (2020). Landscape of Eukaryotic Transmembrane Beta Barrel Proteins. Journal of Proteome Research, 19(3), 1209-1221. https://doi.org/10.1021/acs.jproteome.9b00740

Vancouver

Roumia AF, Theodoropoulou MC, Tsirigos KD, Nielsen H, Bagos PG. Landscape of Eukaryotic Transmembrane Beta Barrel Proteins. Journal of Proteome Research. 2020;19(3):1209-1221. https://doi.org/10.1021/acs.jproteome.9b00740

Author

Roumia, Ahmed F. ; Theodoropoulou, Margarita C. ; Tsirigos, Konstantinos D. ; Nielsen, Henrik ; Bagos, Pantelis G. / Landscape of Eukaryotic Transmembrane Beta Barrel Proteins. In: Journal of Proteome Research. 2020 ; Vol. 19, No. 3. pp. 1209-1221.

Bibtex

@article{7dba09c3a11e47a6a59710abcfa431af,
title = "Landscape of Eukaryotic Transmembrane Beta Barrel Proteins",
abstract = "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.",
author = "Roumia, {Ahmed F.} and Theodoropoulou, {Margarita C.} and Tsirigos, {Konstantinos D.} and Henrik Nielsen and Bagos, {Pantelis G.}",
year = "2020",
doi = "10.1021/acs.jproteome.9b00740",
language = "English",
volume = "19",
pages = "1209--1221",
journal = "Journal of Proteome Research",
issn = "1535-3893",
publisher = "American Chemical Society",
number = "3",

}

RIS

TY - JOUR

T1 - Landscape of Eukaryotic Transmembrane Beta Barrel Proteins

AU - Roumia, Ahmed F.

AU - Theodoropoulou, Margarita C.

AU - Tsirigos, Konstantinos D.

AU - Nielsen, Henrik

AU - Bagos, Pantelis G.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

U2 - 10.1021/acs.jproteome.9b00740

DO - 10.1021/acs.jproteome.9b00740

M3 - Journal article

C2 - 32008325

VL - 19

SP - 1209

EP - 1221

JO - Journal of Proteome Research

JF - Journal of Proteome Research

SN - 1535-3893

IS - 3

ER -

ID: 238681512