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Prediction of protein disorder based on IUPred

Protein science, 2018-01, Vol.27 (1), p.331-340

Dosztanyi, Zsuzsanna

2018

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IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding

Nucleic acids research, 2018-07, Vol.46 (W1), p.W329-W337

2018

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IUPred3: prediction of protein disorder enhanced with unambiguous experimental annotation and visualization of evolutionary conservation

Nucleic acids research, 2021-07, Vol.49 (W1), p.W297-W303

2021

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MobiDB-lite: Fast and highly specific consensus prediction of intrinsic disorder in proteins

Bioinformatics (Oxford, England), 2017-05, Vol.33 (9), p.1402-1404

2017

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ANCHOR: web server for predicting protein binding regions in disordered proteins

Bioinformatics, 2009-10, Vol.25 (20), p.2745-2746

2009

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MobiDB-lite: fast and highly specific consensus prediction of intrinsic disorder in proteins

Bioinformatics (Oxford, England), 2017-05, Vol.33 (9), p.1402

2017

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AIUPred: combining energy estimation with deep learning for the enhanced prediction of protein disorder

Nucleic acids research, 2024-07, Vol.52 (W1), p.W176-W181

2024

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Prediction of protein binding regions in disordered proteins

PLoS computational biology, 2009-05, Vol.5 (5), p.e1000376-e1000376

2009

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DIBS: a repository of disordered binding sites mediating interactions with ordered proteins

Bioinformatics, 2018-02, Vol.34 (3), p.535-537

2018

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Degrons in cancer

Science signaling, 2017-03, Vol.10 (470)

2017

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MobiDB: intrinsically disordered proteins in 2021

Nucleic acids research, 2021-01, Vol.49 (D1), p.D361-D367

2021

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MobiDB-lite 3.0: fast consensus annotation of intrinsic disorder flavors in proteins

Bioinformatics (Oxford, England), 2021-04, Vol.36 (22-23), p.5533-5534

2021

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DisCanVis: Visualizing integrated structural and functional annotations to better understand the effect of cancer mutations located within disordered proteins

Protein science, 2023-01, Vol.32 (1), p.e4522-n/a

2023

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Uncovering the BIN1-SH3 interactome underpinning centronuclear myopathy

eLife, 2024-07, Vol.13

2024

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Molecular Principles of the Interactions of Disordered Proteins

Journal of molecular biology, 2007-09, Vol.372 (2), p.549-561

2007

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A comprehensive assessment of long intrinsic protein disorder from the DisProt database

Bioinformatics, 2018-02, Vol.34 (3), p.445-452

2018

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Large‐Scale Analysis of Redox‐Sensitive Conditionally Disordered Protein Regions Reveals Their Widespread Nature and Key Roles in High‐Level Eukaryotic Processes

Proteomics (Weinheim), 2019-03, Vol.19 (6), p.e1800070-n/a

2019

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Disordered binding regions and linear motifs--bridging the gap between two models of molecular recognition

PloS one, 2012-10, Vol.7 (10), p.e46829-e46829

2012

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Simultaneous quantification of protein order and disorder

Nature chemical biology, 2017-03, Vol.13 (4), p.339-342

2017

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Tutorial: a guide for the selection of fast and accurate computational tools for the prediction of intrinsic disorder in proteins

Nature protocols, 2023-11, Vol.18 (11), p.3157-3172

2023

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The Origin of Discrepancies between Predictions and Annotations in Intrinsically Disordered Proteins

Biomolecules (Basel, Switzerland), 2023-09, Vol.13 (10), p.1442

2023

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Disorder and Sequence Repeats in Hub Proteins and Their Implications for Network Evolution

Journal of proteome research, 2006-11, Vol.5 (11), p.2985-2995

2006

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The MemMoRF database for recognizing disordered protein regions interacting with cellular membranes

Nucleic acids research, 2021-01, Vol.49 (D1), p.D355-D360

2021

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Mutations of Intrinsically Disordered Protein Regions Can Drive Cancer but Lack Therapeutic Strategies

Biomolecules (Basel, Switzerland), 2021-03, Vol.11 (3), p.381

2021

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Acetylation of nuclear receptors in health and disease: an update

The FEBS journal, 2024-01, Vol.291 (2), p.217-236

2024

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Prediction of protein disorder based on IUPred

IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding

IUPred3: prediction of protein disorder enhanced with unambiguous experimental annotation and visualization of evolutionary conservation

MobiDB-lite: Fast and highly specific consensus prediction of intrinsic disorder in proteins

ANCHOR: web server for predicting protein binding regions in disordered proteins

MobiDB-lite: fast and highly specific consensus prediction of intrinsic disorder in proteins

AIUPred: combining energy estimation with deep learning for the enhanced prediction of protein disorder

Prediction of protein binding regions in disordered proteins

DIBS: a repository of disordered binding sites mediating interactions with ordered proteins

Degrons in cancer

MobiDB: intrinsically disordered proteins in 2021

MobiDB-lite 3.0: fast consensus annotation of intrinsic disorder flavors in proteins

DisCanVis: Visualizing integrated structural and functional annotations to better understand the effect of cancer mutations located within disordered proteins

Uncovering the BIN1-SH3 interactome underpinning centronuclear myopathy

Molecular Principles of the Interactions of Disordered Proteins

A comprehensive assessment of long intrinsic protein disorder from the DisProt database

Large‐Scale Analysis of Redox‐Sensitive Conditionally Disordered Protein Regions Reveals Their Widespread Nature and Key Roles in High‐Level Eukaryotic Processes

Disordered binding regions and linear motifs--bridging the gap between two models of molecular recognition

Simultaneous quantification of protein order and disorder

Tutorial: a guide for the selection of fast and accurate computational tools for the prediction of intrinsic disorder in proteins

The Origin of Discrepancies between Predictions and Annotations in Intrinsically Disordered Proteins

Disorder and Sequence Repeats in Hub Proteins and Their Implications for Network Evolution

The MemMoRF database for recognizing disordered protein regions interacting with cellular membranes

Mutations of Intrinsically Disordered Protein Regions Can Drive Cancer but Lack Therapeutic Strategies

Acetylation of nuclear receptors in health and disease: an update

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