| IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding B Mészáros, G Erdős, Z Dosztányi Nucleic acids research 46 (W1), W329-W337, 2018 | 1297 | 2018 |
| IUPred3: prediction of protein disorder enhanced with unambiguous experimental annotation and visualization of evolutionary conservation G Erdős, M Pajkos, Z Dosztányi Nucleic acids research 49 (W1), W297-W303, 2021 | 362 | 2021 |
| Analyzing protein disorder with IUPred2A G Erdős, Z Dosztányi Current protocols in bioinformatics 70 (1), e99, 2020 | 307 | 2020 |
| Critical assessment of protein intrinsic disorder prediction M Necci, D Piovesan, SCE Tosatto Nature methods 18 (5), 472-481, 2021 | 238 | 2021 |
| 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 | 161 | 2020 |
| 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 | 141 | 2022 |
| Effects of the gout-causing Q141K polymorphism and a CFTR ΔF508 mimicking mutation on the processing and stability of the ABCG2 protein H Sarankó, H Tordai, Á Telbisz, C Özvegy-Laczka, G Erdős, B Sarkadi, ... Biochemical and biophysical research communications 437 (1), 140-145, 2013 | 41 | 2013 |
| Evolutionary study of disorder in protein sequences K Kastano, G Erdős, P Mier, G Alanis-Lobato, VJ Promponas, Z Dosztányi, ... Biomolecules 10 (10), 1413, 2020 | 26 | 2020 |
| Novel linear motif filtering protocol reveals the role of the LC8 dynein light chain in the Hippo pathway G Erdős, T Szaniszló, M Pajkos, B Hajdu-Soltész, B Kiss, G Pál, L Nyitray, ... PLoS computational biology 13 (12), e1005885, 2017 | 26 | 2017 |
| Large‐scale analysis of redox‐sensitive conditionally disordered protein regions reveals their widespread nature and key roles in high‐level eukaryotic processes G Erdős, B Mészáros, D Reichmann, Z Dosztányi Proteomics 19 (6), 1800070, 2019 | 20 | 2019 |
| CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins A Del Conte, A Bouhraoua, M Mehdiabadi, D Clementel, AM Monzon, ... Nucleic Acids Research 51 (W1), W62-W69, 2023 | 18 | 2023 |
| The MemMoRF database for recognizing disordered protein regions interacting with cellular membranes G Csizmadia, G Erdős, H Tordai, R Padányi, S Tosatto, Z Dosztányi, ... Nucleic Acids Research 49 (D1), D355-D360, 2021 | 10 | 2021 |
| Tutorial: a guide for the selection of fast and accurate computational tools for the prediction of intrinsic disorder in proteins L Kurgan, G Hu, K Wang, S Ghadermarzi, B Zhao, N Malhis, G Erdős, ... Nature Protocols 18 (11), 3157-3172, 2023 | 8 | 2023 |
| AIUPred: combining energy estimation with deep learning for the enhanced prediction of protein disorder G Erdős, Z Dosztányi Nucleic Acids Research, gkae385, 2024 | 4 | 2024 |
| The origin of discrepancies between predictions and annotations in intrinsically disordered proteins M Pajkos, G Erdős, Z Dosztányi Biomolecules 13 (10), 1442, 2023 | 3 | 2023 |
| The interaction between LC8 and LCA5 reveals a novel oligomerization function of LC8 in the ciliary-centrosome system T Szaniszló, M Fülöp, M Pajkos, G Erdős, RÁ Kovács, H Vadászi, ... Scientific Reports 12 (1), 15623, 2022 | 2 | 2022 |
| DisCanVis: Visualizing integrated structural and functional annotations to better understand the effect of cancer mutations located within disordered proteins N Deutsch, M Pajkos, G Erdős, Z Dosztanyi Protein Science 32 (1), e4522, 2023 | | 2023 |
| Prediction of protein structure and intrinsic disorder in the era of deep learning G Erdős, Z Dosztányi Structure and Intrinsic Disorder in Enzymology, 199-224, 2023 | | 2023 |
| Bioinformatic analysis of disordered proteins GD Erdős | | 2022 |
