| ELM—the eukaryotic linear motif resource in 2020 M Kumar, M Gouw, S Michael, H Sámano-Sánchez, R Pancsa, J Glavina, ... Nucleic acids research 48 (D1), D296-D306, 2020 | 371 | 2020 |
| Critical assessment of protein intrinsic disorder prediction M Necci, D Piovesan, SCE Tosatto Nature methods 18 (5), 472-481, 2021 | 349 | 2021 |
| The eukaryotic linear motif resource: 2022 release M Kumar, S Michael, J Alvarado-Valverde, B Mészáros, ... Nucleic acids research 50 (D1), D497-D508, 2022 | 286 | 2022 |
| DisProt: intrinsic protein disorder annotation in 2020 A Hatos, B Hajdu-Soltész, AM Monzon, N Palopoli, L Álvarez, ... Nucleic acids research 48 (D1), D269-D276, 2020 | 283 | 2020 |
| Structural disorder in eukaryotes R Pancsa, P Tompa PloS one 7 (4), e34687, 2012 | 233 | 2012 |
| PhaSePro: the database of proteins driving liquid–liquid phase separation B Mészáros, G Erdős, B Szabó, É Schád, Á Tantos, R Abukhairan, ... Nucleic acids research 48 (D1), D360-D367, 2020 | 214 | 2020 |
| From protein sequence to dynamics and disorder with DynaMine E Cilia, R Pancsa, P Tompa, T Lenaerts, WF Vranken Nature communications 4 (1), 2741, 2013 | 195 | 2013 |
| The DynaMine webserver: predicting protein dynamics from sequence E Cilia, R Pancsa, P Tompa, T Lenaerts, WF Vranken Nucleic acids research 42 (W1), W264-W270, 2014 | 181 | 2014 |
| 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 | 180 | 2022 |
| Phase separation by ssDNA binding protein controlled via protein− protein and protein− DNA interactions GM Harami, ZJ Kovács, R Pancsa, J Pálinkás, V Baráth, K Tárnok, ... Proceedings of the National Academy of Sciences 117 (42), 26206-26217, 2020 | 140 | 2020 |
| ELM—the Eukaryotic Linear Motif resource—2024 update M Kumar, S Michael, J Alvarado-Valverde, A Zeke, T Lazar, J Glavina, ... Nucleic Acids Research 52 (D1), D442-D455, 2024 | 132 | 2024 |
| DisProt in 2024: improving function annotation of intrinsically disordered proteins MC Aspromonte, MV Nugnes, F Quaglia, A Bouharoua, SCE Tosatto, ... Nucleic Acids Research 52 (D1), D434-D441, 2024 | 126 | 2024 |
| DIBS: a repository of disordered binding sites mediating interactions with ordered proteins E Schad, E Ficho, R Pancsa, I Simon, Z Dosztányi, B Meszaros Bioinformatics 34 (3), 535-537, 2018 | 109 | 2018 |
| AmyPro: a database of proteins with validated amyloidogenic regions M Varadi, G De Baets, WF Vranken, P Tompa, R Pancsa Nucleic acids research 46 (D1), D387-D392, 2018 | 101 | 2018 |
| Interactions via intrinsically disordered regions: what kind of motifs? R Pancsa, M Fuxreiter IUBMB life 64 (6), 513-520, 2012 | 97 | 2012 |
| A generic approach to study the kinetics of liquid–liquid phase separation under near-native conditions J Van Lindt, A Bratek-Skicki, PN Nguyen, D Pakravan, LF Durán-Armenta, ... Communications biology 4 (1), 77, 2021 | 87 | 2021 |
| Emergent functions of proteins in non-stoichiometric supramolecular assemblies R Pancsa, E Schad, A Tantos, P Tompa Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics 1867 (10), 970-979, 2019 | 76 | 2019 |
| Computational resources for identifying and describing proteins driving liquid–liquid phase separation R Pancsa, W Vranken, B Mészáros Briefings in Bioinformatics 22 (5), bbaa408, 2021 | 61 | 2021 |
| Revealing the determinants of widespread alternative splicing perturbation in cancer Y Li, N Sahni, R Pancsa, DJ McGrail, J Xu, X Hua, ... Cell reports 21 (3), 798-812, 2017 | 61 | 2017 |
| Structural disorder provides increased adaptability for vesicle trafficking pathways N Pietrosemoli, R Pancsa, P Tompa PLoS computational biology 9 (7), e1003144, 2013 | 59 | 2013 |
Peter TompaPofessor of biochemistry, VIB SBRC, BrusselsVerified email at vub.ac.be
