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Current Opinion in Structural Biology
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November 10, 2024
Deep learning for intrinsically disordered proteins: From improved predictions to deciphering conformational ensembles
Gábor Erdős, Zsuzsanna Dosztányi
Nucleic Acids Research
|
May 15, 2024
AIUPred: combining energy estimation with deep learning for the enhanced prediction of protein disorder
Gábor Erdős, Zsuzsanna Dosztányi
Current Protocols in Bioinformatics
|
April 3, 2020
Analyzing Protein Disorder with IUPred2A
Gábor Erdős, Zsuzsanna Dosztányi
Biomolecules
|
October 28, 2023
The Origin of Discrepancies between Predictions and Annotations in Intrinsically Disordered Proteins
Mátyás Pajkos, Gábor Erdős, Zsuzsanna Dosztányi
Nucleic Acids Research
|
May 28, 2021
IUPred3: prediction of protein disorder enhanced with unambiguous experimental annotation and visualization of evolutionary conservation
Gábor Erdős, Mátyás Pajkos, Zsuzsanna Dosztányi
Journal of Molecular Biology
|
March 26, 2025
AIUPred - Binding: Energy Embedding to Identify Disordered Binding Regions
Gábor Erdős, Norbert Deutsch, Zsuzsanna Dosztányi
Iscience
|
March 26, 2026
Pathogenic variations illuminate functional constraints in intrinsically disordered proteins
Norbert Deutsch, Gábor Erdős, Zsuzsanna Dosztányi
Proteomics
|
January 11, 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, et al.
Protein Science : a Publication of the Protein Society
|
December 1, 2022
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, et al.
Nucleic Acids Research
|
October 29, 2020
The MemMoRF database for recognizing disordered protein regions interacting with cellular membranes
Georgina Csizmadia, Gábor Erdős, Hedvig Tordai, et al.
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Search research articles
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Showing results (1-10 of 19) with videos related to
Sort By:
Page
of 2
Current Opinion in Structural Biology
|
November 10, 2024
Deep learning for intrinsically disordered proteins: From improved predictions to deciphering conformational ensembles
Gábor Erdős, Zsuzsanna Dosztányi
Nucleic Acids Research
|
May 15, 2024
AIUPred: combining energy estimation with deep learning for the enhanced prediction of protein disorder
Gábor Erdős, Zsuzsanna Dosztányi
Current Protocols in Bioinformatics
|
April 3, 2020
Analyzing Protein Disorder with IUPred2A
Gábor Erdős, Zsuzsanna Dosztányi
Biomolecules
|
October 28, 2023
The Origin of Discrepancies between Predictions and Annotations in Intrinsically Disordered Proteins
Mátyás Pajkos, Gábor Erdős, Zsuzsanna Dosztányi
Nucleic Acids Research
|
May 28, 2021
IUPred3: prediction of protein disorder enhanced with unambiguous experimental annotation and visualization of evolutionary conservation
Gábor Erdős, Mátyás Pajkos, Zsuzsanna Dosztányi
Journal of Molecular Biology
|
March 26, 2025
AIUPred - Binding: Energy Embedding to Identify Disordered Binding Regions
Gábor Erdős, Norbert Deutsch, Zsuzsanna Dosztányi
Iscience
|
March 26, 2026
Pathogenic variations illuminate functional constraints in intrinsically disordered proteins
Norbert Deutsch, Gábor Erdős, Zsuzsanna Dosztányi
Proteomics
|
January 11, 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, et al.
Protein Science : a Publication of the Protein Society
|
December 1, 2022
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, et al.
Nucleic Acids Research
|
October 29, 2020
The MemMoRF database for recognizing disordered protein regions interacting with cellular membranes
Georgina Csizmadia, Gábor Erdős, Hedvig Tordai, et al.
Page
of 2