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Konstantinos Tsirigos, PhD Bioinformatics
Konstantinos Tsirigos, PhD Bioinformatics
DTU Biosustain
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Zitiert von
Zitiert von
Jahr
SignalP 5.0 improves signal peptide predictions using deep neural networks
JJ Almagro Armenteros, KD Tsirigos, CK Sønderby, TN Petersen, ...
Nature biotechnology 37 (4), 420-423, 2019
35392019
SignalP 6.0 predicts all five types of signal peptides using protein language models
F Teufel, JJ Almagro Armenteros, AR Johansen, MH Gíslason, SI Pihl, ...
Nature biotechnology 40 (7), 1023-1025, 2022
9612022
The TOPCONS web server for consensus prediction of membrane protein topology and signal peptides
KD Tsirigos, C Peters, N Shu, L Käll, A Elofsson
Nucleic acids research 43 (W1), W401-W407, 2015
8802015
DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks
J Hallgren, KD Tsirigos, MD Pedersen, JJ Almagro Armenteros, ...
BioRxiv, 2022.04. 08.487609, 2022
4082022
DisProt 7.0: a major update of the database of disordered proteins
D Piovesan, F Tabaro, I Mičetić, M Necci, F Quaglia, CJ Oldfield, ...
Nucleic acids research 45 (D1), D219-D227, 2017
3252017
A reference map of potential determinants for the human serum metabolome
N Bar, T Korem, O Weissbrod, D Zeevi, D Rothschild, S Leviatan, ...
Nature 588 (7836), 135-140, 2020
2692020
Combined prediction of Tat and Sec signal peptides with hidden Markov models
PG Bagos, EP Nikolaou, TD Liakopoulos, KD Tsirigos
Bioinformatics 26 (22), 2811-2817, 2010
2602010
A brief history of protein sorting prediction
H Nielsen, KD Tsirigos, S Brunak, G von Heijne
The protein journal 38, 200-216, 2019
1852019
Prediction of lipoprotein signal peptides in Gram-positive bacteria with a Hidden Markov Model
PG Bagos, KD Tsirigos, TD Liakopoulos, SJ Hamodrakas
Journal of proteome research 7 (12), 5082-5093, 2008
1372008
DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation
F Quaglia, B Mészáros, E Salladini, A Hatos, R Pancsa, LB Chemes, ...
Nucleic acids research 50 (D1), D480-D487, 2022
1242022
Prediction of signal peptides in archaea
PG Bagos, KD Tsirigos, SK Plessas, TD Liakopoulos, SJ Hamodrakas
Protein Engineering, Design & Selection 22 (1), 27-35, 2009
1022009
The next-generation Open Targets Platform: reimagined, redesigned, rebuilt
D Ochoa, A Hercules, M Carmona, D Suveges, J Baker, C Malangone, ...
Nucleic acids research 51 (D1), D1353-D1359, 2023
962023
Inclusion of dyad-repeat pattern improves topology prediction of transmembrane β-barrel proteins
S Hayat, C Peters, N Shu, KD Tsirigos, A Elofsson
Bioinformatics 32 (10), 1571-1573, 2016
862016
PRED-TMBB2: improved topology prediction and detection of beta-barrel outer membrane proteins
KD Tsirigos, A Elofsson, PG Bagos
Bioinformatics 32 (17), i665-i671, 2016
852016
OMPdb: a database of β-barrel outer membrane proteins from Gram-negative bacteria
KD Tsirigos, PG Bagos, SJ Hamodrakas
Nucleic acids research 39 (suppl_1), D324-D331, 2010
682010
Improved topology prediction using the terminal hydrophobic helices rule
C Peters, KD Tsirigos, N Shu, A Elofsson
Bioinformatics 32 (8), 1158-1162, 2016
542016
Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study
A Wesolowska-Andersen, CA Brorsson, R Bizzotto, A Mari, A Tura, ...
Cell Reports Medicine 3 (1), 2022
502022
A guideline to proteome‐wide α‐helical membrane protein topology predictions
KD Tsirigos, A Hennerdal, L Käll, A Elofsson
Proteomics 12 (14), 2282-2294, 2012
402012
Prediction of cell wall sorting signals in gram-positive bacteria with a hidden markov model: application to complete genomes
ZI Litou, PG Bagos, KD Tsirigos, TD Liakopoulos, SJ Hamodrakas
Journal of bioinformatics and computational biology 6 (02), 387-401, 2008
382008
Pharmacogenomics of GLP-1 receptor agonists: a genome-wide analysis of observational data and large randomised controlled trials
AY Dawed, A Mari, A Brown, TJ McDonald, L Li, S Wang, MG Hong, ...
The Lancet Diabetes & Endocrinology 11 (1), 33-41, 2023
342023
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