| SignalP 5.0 improves signal peptide predictions using deep neural networks JJA Armenteros, KD Tsirigos, CK Sønderby, TN Petersen, O Winther, ... Nature biotechnology 37 (4), 420-423, 2019 | 1510 | 2019 |
| 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 | 591 | 2015 |
| 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 | 240 | 2017 |
| 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 | 218 | 2010 |
| 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 | 118 | 2008 |
| 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 | 99 | 2009 |
| 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 | 61 | 2020 |
| 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 | 58 | 2016 |
| 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 | 56 | 2016 |
| 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 | 55 | 2010 |
| A brief history of protein sorting prediction H Nielsen, KD Tsirigos, S Brunak, G von Heijne The protein journal 38 (3), 200-216, 2019 | 53 | 2019 |
| 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 | 36 | 2012 |
| Improved topology prediction using the terminal hydrophobic helices rule C Peters, KD Tsirigos, N Shu, A Elofsson Bioinformatics 32 (8), 1158-1162, 2016 | 33 | 2016 |
| 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 | 31 | 2008 |
| CW-PRED: a HMM-based method for the classification of cell wall-anchored proteins of Gram-positive bacteria DK Fimereli, KD Tsirigos, ZI Litou, TD Liakopoulos, PG Bagos, ... Hellenic Conference on Artificial Intelligence, 285-290, 2012 | 22 | 2012 |
| ExTopoDB: a database of experimentally derived topological models of transmembrane proteins GN Tsaousis, KD Tsirigos, XD Andrianou, TD Liakopoulos, PG Bagos, ... Bioinformatics 26 (19), 2490-2492, 2010 | 22 | 2010 |
| Topology of membrane proteins—predictions, limitations and variations KD Tsirigos, S Govindarajan, C Bassot, Å Västermark, J Lamb, N Shu, ... Current opinion in structural biology 50, 9-17, 2018 | 15 | 2018 |
| Semi-supervised learning of Hidden Markov Models for biological sequence analysis IA Tamposis, KD Tsirigos, MC Theodoropoulou, PI Kontou, PG Bagos Bioinformatics 35 (13), 2208-2215, 2019 | 14 | 2019 |
| Large tilts in transmembrane helices can be induced during tertiary structure formation M Virkki, C Boekel, K Illergård, C Peters, N Shu, KD Tsirigos, A Elofsson, ... Journal of molecular biology 426 (13), 2529-2538, 2014 | 9 | 2014 |
| GWAR: robust analysis and meta-analysis of genome-wide association studies NL Dimou, KD Tsirigos, A Elofsson, PG Bagos Bioinformatics 33 (10), 1521-1527, 2017 | 8 | 2017 |
