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Erdős Gábor
Erdős Gábor
MTA-ELTE Momentum Bioinformatics Research Group
Verified email at caesar.elte.hu
Title
Cited by
Cited by
Year
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
11902018
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
2772021
Analyzing protein disorder with IUPred2A
G Erdős, Z Dosztányi
Current protocols in bioinformatics 70 (1), e99, 2020
2682020
Critical assessment of protein intrinsic disorder prediction
M Necci, D Piovesan, SCE Tosatto
Nature methods 18 (5), 472-481, 2021
2032021
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
1442020
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
1242022
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
362013
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
242017
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
232020
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
182019
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
112023
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
92021
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
42023
The origin of discrepancies between predictions and annotations in intrinsically disordered proteins
M Pajkos, G Erdős, Z Dosztányi
Biomolecules 13 (10), 1442, 2023
12023
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
12022
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 Dosztányi
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
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