Gábor Erdős

Eötvös Loránd University — Hungary

Biochemistry, Genetics and Molecular Biology · Life Sciences

14h-index3.2kcitations22works35.52yr avg
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Research Topics

Protein Structure and Dynamics(12), Enzyme Structure and Function(7), Machine Learning in Bioinformatics(7), RNA and protein synthesis mechanisms(6), Genomics and Phylogenetic Studies(3)

Publications22 total

Pathogenic variations illuminate functional constraints in intrinsically disordered proteins
2025Open Access
AIUPred – Binding: Energy Embedding to Identify Disordered Binding Regions
Journal of Molecular Biology·2025· 14 citedOpen Access
Deep learning for intrinsically disordered proteins: From improved predictions to deciphering conformational ensembles
Current Opinion in Structural Biology·2024· 17 citedOpen Access
AIUPred: combining energy estimation with deep learning for the enhanced prediction of protein disorder
Nucleic Acids Research·2024· 110 citedOpen Access
The Origin of Discrepancies between Predictions and Annotations in Intrinsically Disordered Proteins
Biomolecules·2023· 8 citedOpen Access
Tutorial: a guide for the selection of fast and accurate computational tools for the prediction of intrinsic disorder in proteins
Nature Protocols·2023· 40 cited
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins
Nucleic Acids Research·2023· 55 citedOpen Access
Bioinformatic analysis of disordered proteins
2023Open Access
DisCanVis: Visualizing integrated structural and functional annotations to better understand the effect of cancer mutations located within disordered proteins
Protein Science·2022· 4 citedOpen Access
Prediction of protein structure and intrinsic disorder in the era of deep learning
Elsevier eBooks·2022· 1 cited
The interaction between LC8 and LCA5 reveals a novel oligomerization function of LC8 in the ciliary-centrosome system
Scientific Reports·2022· 5 citedOpen Access
DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation
Nucleic Acids Research·2021· 184 citedOpen Access
IUPred3: prediction of protein disorder enhanced with unambiguous experimental annotation and visualization of evolutionary conservation
Nucleic Acids Research·2021· 592 citedOpen Access
The MemMoRF database for recognizing disordered protein regions interacting with cellular membranes
Nucleic Acids Research·2020· 16 citedOpen Access
Evolutionary Study of Disorder in Protein Sequences
Biomolecules·2020· 30 citedOpen Access
Analyzing Protein Disorder with IUPred2A
Current Protocols in Bioinformatics·2020· 348 citedOpen Access
PhaSePro: the database of proteins driving liquid–liquid phase separation
Nucleic Acids Research·2019· 212 citedOpen Access
Large‐Scale Analysis of Redox‐Sensitive Conditionally Disordered Protein Regions Reveals Their Widespread Nature and Key Roles in High‐Level Eukaryotic Processes
PROTEOMICS·2019· 32 cited
Large-scale analysis of redox-sensitive conditionally disordered protein regions reveal their widespread nature and key roles in high-level eukaryotic processes
2018Open Access
IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding
Nucleic Acids Research·2018· 1.5k citedOpen Access
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Frequent Co-authors

Zsuzsanna Dosztányi(20), Mátyás Pajkos(6), Bálint Mészáros(5), Silvio C. E. Tosatto(4), Tamás Szaniszló(3), Norbert Deutsch(3), Éva Schád(2), Péter Tompa(2), Rita Pancsa(2), Alexander Miguel Monzón(2), Vasilis J. Promponas(2), Damiano Piovesan(2), Nawar Malhis(2), Jörg Gsponer(2), Lukasz Kurgan(2), Sina Ghadermarzi(2), Bi Zhao(2), Gang Hu(2), Dana Reichmann(2), Beáta Szabó(1)