Pathogenic variations illuminate functional constraints in intrinsically disordered proteins
Deutsch, Norbert, Gábor Erdős, and Zsuzsanna Dosztányi. 2026. “Pathogenic variations illuminate functional constraints in intrinsically disordered proteins.” iScience 29 (4): 115215. https://doi.org/10.1016/j.isci.2026.115215.
2026
Physiologically relevant forms of Tc- and Re-pyrophosphate radioactive tracers and the basis of their transthyretin amyloid sensitivity
Simon, Kevin Zsolt, Kende Attila Béres, Attila Farkas, Nándor Papp, Andrea Bodor, Veronika Harmat, Dávid Papp, Maria Gracheva, Máté Sulyok-Eiler, András Perczel, and Dóra K. Menyhárd. 2026. “Physiologically relevant forms of Tc- and Re-pyrophosphate radioactive tracers and the basis of their transthyretin amyloid sensitivity.” Scientific Reports 16 (1): 6111. https://doi.org/10.1038/s41598-026-35746-5.
2026
DisProt in 2026: enhancing intrinsically disordered proteins accessibility, deposition, and annotation
Nugnes, Maria Victoria, Kamel Eddine Adel Bouhraoua, Mehdi Zoubiri, Rita Pancsa, Erzsébet Fichó, DisProt Consortium, Peter Tompa, Damiano Piovesan, Silvio C. E. Tosatto, and Maria Cristina Aspromonte. 2026. “DisProt in 2026: Enhancing intrinsically disordered proteins accessibility, deposition, and annotation.” Nucleic Acids Research 54 (D1): D383–D392. https://doi.org/10.1093/nar/gkaf1175.
2026
Phase transition drives bacterial single-stranded DNA binding (SSB) protein mobilization during stress response and metabolic adaptation
Ecsédi, Péter, Júlia Szittyai, János Pálinkás, Bálint Jezsó, Viktoria Katran, Zoltán Kovács, Henriett Halász, Sonallya Tasvilla, Tünde Juhász, Tamás Beke-Somfai, Szilvia Barkó, Edina Szabó-Meleg, and Mihály Kovács. 2026. “Phase transition drives bacterial single-stranded DNA binding (SSB) protein mobilization during stress response and metabolic adaptation.” bioRxiv, August 30, 2025. https://doi.org/10.1101/2025.08.28.672810.
2026
Selective engineering of condensation properties of single-stranded DNA binding (SSB) protein via its intrinsically disordered linker region
Ecsédi, Péter, Dávid Érfalvy, Zoltán J. Kovács, Viktoria Katran, János Pálinkás, Miklós Cervenak, Rita Pancsa, Gábor M. Harami, László Smeller, and Mihály Kovács. 2025. “Selective engineering of condensation properties of single-stranded DNA binding (SSB) protein via its intrinsically disordered linker region.” Nucleic Acids Research 53 (11): gkaf481. https://doi.org/10.1093/nar/gkaf481.
2025
Fine-tuned interactions between globular and disordered regions of single-stranded DNA binding (SSB) protein are required for dynamic condensation under physiological conditions
Kovács, Zoltán J., Péter Ecsédi, Gábor M. Harami, János Pálinkás, Mina Botros, Lamiya Mahmudova, Viktoria Katran, Dávid Érfalvy, Miklós Cervenak, László Smeller, and Mihály Kovács. 2025. “Fine-tuned interactions between globular and disordered regions of single-stranded DNA binding (SSB) protein are required for dynamic condensation under physiological conditions.” Protein Science 34 (4): e70109. https://doi.org/10.1002/pro.70109.
2025
DR and SPIT: Statistical approaches for identifying transient structure in intrinsically disordered proteins via NMR chemical shifts
Kovács, Dániel, and Andrea Bodor. 2025. “DR and SPIT: Statistical approaches for identifying transient structure in intrinsically disordered proteins via NMR chemical shifts.” Protein Science 34 (9): e70250. https://doi.org/10.1002/pro.70250.
2025
DRMAAtic: dramatically improve your cluster potential
Del Conte, Alessio, Hamidreza Ghafouri, Damiano Clementel, Ivan Mičetić, Damiano Piovesan, Silvio C. E. Tosatto, and Alexander Miguel Monzon. 2025. “DRMAAtic: dramatically improve your cluster potential.” Bioinformatics Advances 5 (1): vbaf112. https://doi.org/10.1093/bioadv/vbaf112.
2025
Toward a unified framework for determining conformational ensembles of disordered proteins
Ghafouri, Hamidreza, Pavel Kadeřávek, Ana M. Melo, Maria Cristina Aspromonte, Pau Bernadó, Juan Cortés, Zsuzsanna Dosztányi, Gábor Erdős, Michael Feig, Giacomo Janson, Kresten Lindorff-Larsen, Frans A. A. Mulder, Peter Nagy, Richard Pestell, Damiano Piovesan, Marco Schiavina, Benjamin Schuler, Nathalie Sibille, Giulio Tesei, Peter Tompa, Michele Vendruscolo, Jiri Vondrasek, Wim Vranken, Lukas Zidek, Silvio C. E. Tosatto, and Alexander Miguel Monzon. 2026. “Toward a unified framework for determining conformational ensembles of disordered proteins.” Nature Methods, March 9, 2025. https://doi.org/10.1038/s41592-026-03003-2.
2025
Critical Assessment of Protein Intrinsic Disorder Round 3 - Predicting Disorder in the Era of Protein Language Models
Mehdiabadi, Mahta, Alessio Del Conte, Maria Victoria Nugnes, Maria Cristina Aspromonte, Silvio C. E. Tosatto, and Damiano Piovesan. 2025. “Critical Assessment of Protein Intrinsic Disorder Round 3 - Predicting Disorder in the Era of Protein Language Models.” Proteins 94 (1): 414–424. https://doi.org/10.1002/prot.70045.
2025
GeomeTRe: accurate calculation of geometrical descriptors of tandem repeat proteins
Osmanli, Zarifa, Elisa Ferrero, Alexander Miguel Monzon, Silvio C. E. Tosatto, and Damiano Piovesan. 2025. “GeomeTRe: accurate calculation of geometrical descriptors of tandem repeat proteins.” Bioinformatics 41 (7): btaf395. https://doi.org/10.1093/bioinformatics/btaf395.
2025
MOBIDB in 2025: integrating ensemble properties and function annotations for intrinsically disordered proteins
Piovesan, Damiano, Alessio Del Conte, Mahta Mehdiabadi, Maria Cristina Aspromonte, Matthias Blum, Giulio Tesei, Sören von Bülow, Kresten Lindorff-Larsen, and Silvio C. E. Tosatto. 2025. “MOBIDB in 2025: integrating ensemble properties and function annotations for intrinsically disordered proteins.” Nucleic Acids Research 53 (D1): D495–D503. https://doi.org/10.1093/nar/gkae969.
2025
AIUPred - Binding: Energy Embedding to Identify Disordered Binding Regions
Erdős, Gábor, Norbert Deutsch, and Zsuzsanna Dosztányi. 2025. “AIUPred - Binding: Energy Embedding to Identify Disordered Binding Regions.” Journal of Molecular Biology 437 (15): 169071. https://doi.org/10.1016/j.jmb.2025.169071.
2025
Deep learning for intrinsically disordered proteins: From improved predictions to deciphering conformational ensembles
Erdős, Gábor, and Zsuzsanna Dosztányi. 2024. “Deep learning for intrinsically disordered proteins: From improved predictions to deciphering conformational ensembles.” Current Opinion in Structural Biology 89: 102950. https://doi.org/10.1016/j.sbi.2024.102950.
2024