Previous publications
- The Hidden Disorder Divide: Reconciling Benchmark Inconsistencies in Intrinsically Disordered Protein Binding Site Prediction
Nawar Malhis, .. , Gábor Erdős, .., Damiano Piovesan
https://www.biorxiv.org/content/10.64898/2026.06.24.733783v1.full.pdf - DisProt in 2026: Enhancing intrinsically disordered proteins accessibility, deposition and annotation
Maria Victoria Nugnes, …Gabor Erdos, …, Maria Cristina Aspromonte
Nucleic Acids Research, Volume 54, Issue D1, 6 January 2026, Pages D383–D392 - Towards a Unified Framework for Determining Conformational Ensembles of Disordered Proteins
Hamidreza Ghafouri, … Gabor Erdos … Alexander Miguel Monzon
Submitted to Nature Methods - Pathogenic Missense Mutations in Intrinsically Disordered Regions Reveal Functional and Clinical Signals
Norbert Deutsch, Gábor Erdős, Zsuzsanna Dosztányi
Submitted to iScience - AIUPred – Binding: Energy Embedding to Identify Disordered Binding Regions
Gábor Erdős, Norbert Deutsch, Zsuzsanna Dosztányi
Journal of Molecular Biology, 5 March 2025, 169071 - Deep Learning for Intrinsically Disordered Proteins: From Improved Predictions to Deciphering Conformational Ensembles
Gábor Erdős, Zsuzsanna Dosztányi, Current Opinion in Structural Biology, Volume 89, December 2024, 102950 - ViralPrimer: a Web Server to Monitor Viral Nucleic Acid Amplification Tests’ Primer Efficiency during Pandemics, with Emphasis on SARS-CoV-2 and Mpox
Norbert Deutsch, Zsuzsanna Dosztányi, …, Gábor Erdős, Anikó Mentes
Bioinformatics, Bioinformatics, btae657, - AIUPred: combining energy estimation with deep learning for the enhanced prediction of protein disorder
Gábor Erdős, Zsuzsanna Dosztányi
Nucleic Acids Research, gkae385 - The origin of discrepancies between predictions and annotations in intrinsically disordered proteins
Gábor Erdős, Mátyás Pajkos, Zsuzsanna Dosztányi
Biomolecules 2023, 13(10), 1442 - 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, J. Gsponer, V. N. Uversky, Zs. Dosztányi
Nature Protocols, 2023, 10.1038/s41596-023-00876-x - CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins
Alessio Del Conte, Adel Bouhraoua, Mahta Mehdiabadi, Damiano Clementel, Alexander Miguel Monzon; CAID predictors; Silvio C E Tosatto, Damiano Piovesan
Nucleic Acids Research, Volume 51, Issue W1, 5 July 2023, Pages W62–W69 - DisCanVis: Visualizing integrated structural and functional annotations to better understand the effect of cancer mutations located within disordered proteins
Norbert Deutsch, Mátyás Pajkos, Gábor Erdős, Zsuzsanna Dosztányi
Protein Science, 2023 Jan;32(1):e4522. doi: 10.1002/pro.4522. - The interaction between LC8 and LCA5 reveals a novel oligomerization function of LC8 in the ciliary-centrosome system
Tamás Szaniszló, Máté Fülöp, Mátyás Pajkos, Gábor Erdős, Réka Ágnes Kovács, Henrietta Vadászi, József Kardos & Zsuzsanna Dosztányi
Scientific Reports volume 12, Article number: 15623 (2022) - DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation
Federica Quaglia, …, Gábor Erdős, …, Damiano Piovesan
Nucleic Acids Res. 2022 Jan 7;50(D1):D480-D487. doi: 10.1093/nar/gkab1082. - IUPred3: prediction of protein disorder enhanced with unambiguous experimental annotation and visualization of evolutionary conservation
Gábor Erdős, Mátyás Pajkos, Zsuzsanna Dosztányi
Nucleic Acids Research, Volume 49, Issue W1, 2 July 2021, Pages W297–W303, - Critical assessment of protein intrinsic disorder prediction
Marco Necci, Damiano Piovesan, CAID Predictors, DisProt Curators & Silvio C. E. Tosatto
Nature Methods volume 18, 472–481 (2021) - The MemMoRF database for recognizing disordered protein regions interacting with cellular membranes
Gábor Erdős, Georgina Csizmadia, Hedvig Tordai, Rita Padányi, Silvio Tosatto, Zsuzsanna Dosztányi, Tamás Hegedűs
Nucleic Acids Research, Volume 49, Issue D1, 8 January 2021, Pages D355–D360, - Evolutionary Study of Disorder in Protein Sequences
Kristina Kastano, Gábor Erdős, Pablo Mier, Gregorio Alanis-Lobato, Vasilis J Promponas, Zsuzsanna Dosztányi, Miguel A Andrade-Navarro
Biomolecules. 2020 Oct 6;10(10):1413. doi: 10.3390/biom10101413 - Analyzing Protein Disorder with IUPred2A
Gábor Erdős, Zsuzsanna Dosztányi
Current Protocols in Bioinformatics, 01 April 2020 - PhaSePro: the database of proteins driving liquid-liquid phase separation
Gábor Erdős, Bálint Mészáros,, Beáta Szabó, Eva Schád, Agnes Tantos, Rawan Abukhairan, Tamás Horváth, Nikoletta Murvai, Orsolya P Kovács, Márton Kovács, Silvio CE Tosatto, Péter Tompa, Zsuzsanna Dosztányi, Rita Pancsa
Nucleic Acids Res. 15 October 2019 - Large‐Scale Analysis of Redox‐Sensitive Conditionally Disordered Protein Regions Reveals Their Widespread Nature and Key Roles in High‐Level Eukaryotic Processes
Gábor Erdős, Bálint Mészáros, Dana Reichmann, Zsuzsanna Dosztányi
Proteomics, 09 January 2019 - IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding.
Mészáros B, Erdos G, Dosztányi Z.
Nucleic Acids Res. 2018 Jul 2;46(W1):W329-W337. - Novel linear motif filtering protocol reveals the role of the LC8 dynein light chain in the Hippo pathway
Gábor Erdős, Tamás Szaniszló , Mátyás Pajkos, Borbála Hajdu-Soltész, Bence Kiss, Gábor Pál, László Nyitray, Zsuzsanna Dosztányi
PLoS Comput Biol. 2017 Dec 14;13(12):e1005885 - Effects of the gout-causing Q141K polymorphism and a CFTR delta F508 mimicking mutation on the processing and stability of the ABCG2 protein
Sarankó H, Tordai H, Telbisz Á, Özvegy-Laczka C, Erdős G, Sarkadi B, Hegedűs T.
Biochem Biophys Res Commun. 2013 Jul 19;437(1):140-5.