Követés
Bálint Mészáros
Bálint Mészáros
EMBL Heidelberg
E-mail megerősítve itt: embl.de - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
8092018
ANCHOR: web server for predicting protein binding regions in disordered proteins
Z Dosztányi, B Mészáros, I Simon
Bioinformatics 25 (20), 2745-2746, 2009
5762009
Prediction of protein binding regions in disordered proteins
B Mészáros, I Simon, Z Dosztányi
PLoS computational biology 5 (5), e1000376, 2009
5672009
Molecular principles of the interactions of disordered proteins
B Mészáros, P Tompa, I Simon, Z Dosztányi
Journal of molecular biology 372 (2), 549-561, 2007
2942007
MobiDB 3.0: more annotations for intrinsic disorder, conformational diversity and interactions in proteins
D Piovesan, F Tabaro, L Paladin, M Necci, I Mičetić, C Camilloni, N Davey, ...
Nucleic acids research 46 (D1), D471-D476, 2018
1842018
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
1772020
Bioinformatical approaches to characterize intrinsically disordered/unstructured proteins
Z Dosztányi, B Mészáros, I Simon
Briefings in bioinformatics 11 (2), 225-243, 2010
1482010
Degrons in cancer
B Mészáros, M Kumar, TJ Gibson, B Uyar, Z Dosztányi
Sci. Signal. 10 (470), eaak9982, 2017
892017
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
782020
Critical assessment of protein intrinsic disorder prediction
M Necci, D Piovesan, SCE Tosatto
Nature methods 18 (5), 472-481, 2021
762021
The expanding view of protein–protein interactions: complexes involving intrinsically disordered proteins
B Mészáros, I Simon, Z Dosztányi
Physical biology 8 (3), 035003, 2011
722011
Disordered binding regions and linear motifs—bridging the gap between two models of molecular recognition
B Mészáros, Z Dosztányi, I Simon
PloS one 7 (10), e46829, 2012
682012
A structural biology community assessment of AlphaFold 2 applications
M Akdel, DEV Pires, EP Pardo, J Jänes, AO Zalevsky, B Mészáros, ...
BioRxiv, 2021
612021
Systematic discovery of linear binding motifs targeting an ancient protein interaction surface on MAP kinases
A Zeke, T Bastys, A Alexa, Á Garai, B Mészáros, K Kirsch, Z Dosztányi, ...
Molecular systems biology 11 (11), 837, 2015
612015
DIBS: a repository of disordered binding sites mediating interactions with ordered proteins
E Schad, E Fichó, R Pancsa, I Simon, Z Dosztányi, B Mészáros
Bioinformatics 34 (3), 535-537, 2018
602018
Is there a biological cost of protein disorder? Analysis of cancer-associated mutations
M Pajkos, B Mészáros, I Simon, Z Dosztányi
Molecular BioSystems 8 (1), 296-307, 2012
592012
MFIB: a repository of protein complexes with mutual folding induced by binding
E Fichó, I Reményi, I Simon, B Mészáros
Bioinformatics 33 (22), 3682-3684, 2017
522017
Short linear motif candidates in the cell entry system used by SARS-CoV-2 and their potential therapeutic implications
B Mészáros, H Sámano-Sánchez, J Alvarado-Valverde, J Čalyševa, ...
Science signaling 14 (665), eabd0334, 2021
452021
Proteins with complex architecture as potential targets for drug design: a case study of Mycobacterium tuberculosis
B Mészáros, J Tóth, BG Vértessy, Z Dosztányi, I Simon
PLoS computational biology 7 (7), e1002118, 2011
372011
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
322022
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