ArticleNature methods2021
Critical assessment of protein intrinsic disorder prediction.
Article in Nature methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 191 papers.
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Who cites it
191 citing papers in PubMed.
- Embrace Disorder as a Function: Bio-Informed Biomaterials Design Advanced by Intrinsically Disordered Proteins.Biomimetics (Basel, Switzerland) · 2026Article
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- Reliable evaluation and learning in multi-input biological association prediction.Briefings in bioinformatics · 2026Article
- SPPIDER-seq: sequence-based partner-aware predictor of protein-protein interaction sites.Bioinformatics (Oxford, England) · 2026Article
- Decoding variants of uncertain significance in systemic autoinflammatory diseases.Nature reviews. Rheumatology · 2026Review
- No Time to Fold: Intrinsically Disordered Microproteins in Action.Biochemistry · 2026Review
- Predicting molecular recognition features in protein sequences with MoRFchibi 2.0.BMC bioinformatics · 2026Article
- Complete NMR assignment for 275 of the most common dipeptides in intrinsically disordered proteins.Scientific data · 2026Article
- Structural genomics sheds light on protein functions and remote homologs across the insect tree of life.Cell research · 2026Article
- SPPIDER-seq: Sequence-based partner-aware predictor of protein-protein interaction sites.bioRxiv : the preprint server for biology · 2026Article
- A benchmarking framework for comparative evaluation of low-complexity region detection tools in the human proteome.Scientific reports · 2026Article
- Structural insights into Phospholipase Cε activity and regulation.The Journal of biological chemistry · 2026Review
- Pathogenicity Prediction of Missense Variations in Hereditary Cancer Genes.International journal of molecular sciences · 2026Article
- Bioinformatic and computational biophysics tools for nanopore engineering: a review from standard approaches to machine learning advancements.Journal of nanobiotechnology · 2026Review
- A Survey of Predicted Protein-Protein Interactions Involving Disordered Regions in Humans.Journal of molecular biology · 2026Article
- Hybrid deep learning with protein language models and dual-path architecture for predicting IDP functions.Briefings in bioinformatics · 2026Article
- Modern resources for intrinsic disorder predictions: protein language models, deep learning, meta-servers, and databases.Cellular and molecular life sciences : CMLS · 2026Review
- The future of Forkhead box O transcription factors.The Biochemical journal · 2026Review
- DisProt in 2026: enhancing intrinsically disordered proteins accessibility, deposition, and annotation.Nucleic acids research · 2026Article
131 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors.
Funding
Abstract
Intrinsically disordered proteins, defying the traditional protein structure-function paradigm, are a challenge to study experimentally. Because a large part of our knowledge rests on computational predictions, it is crucial that their accuracy is high. The Critical Assessment of protein Intrinsic Disorder prediction (CAID) experiment was established as a community-based blind test to determine the state of the art in prediction of intrinsically disordered regions and the subset of residues involved in binding. A total of 43 methods were evaluated on a dataset of 646 proteins from DisProt. The best methods use deep learning techniques and notably outperform physicochemical methods. The top disorder predictor has F
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