ArticleNucleic acids research2023
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.
Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Directed evolution of functional intrinsically disordered proteins.Nature chemical biology · 2026Article
- Article
- Predicting molecular recognition features in protein sequences with MoRFchibi 2.0.BMC bioinformatics · 2026Article
- CISP, an Intrinsically Disordered Cold-Inducible Barley Protein, Functions as a Small RNA Chaperone.Plant direct · 2026Article
- Modern resources for intrinsic disorder predictions: protein language models, deep learning, meta-servers, and databases.Cellular and molecular life sciences : CMLS · 2026Review
- Structural and Biochemical Characterization of an Atypical α-Carbonic Anhydrase from the TardigradeMolecules (Basel, Switzerland) · 2026Article
- ESMDisPred: A Structure-Aware CNN-Transformer Architecture for Intrinsically Disordered Protein Prediction.bioRxiv : the preprint server for biology · 2026Article
- Critical Assessment of Protein Intrinsic Disorder Round 3 - Predicting Disorder in the Era of Protein Language Models.Proteins · 2026Article
- Comparative assessment of binding residue predictions in intrinsically disordered regions.Protein science : a publication of the Protein Society · 2025Article
- LoRA-DR-suite: adapted embeddings predict intrinsic and soft disorder from protein sequences.Bioinformatics (Oxford, England) · 2025Article
- MobiDB-lite 4.0: faster prediction of intrinsic protein disorder and structural compactness.Bioinformatics (Oxford, England) · 2025Article
- PERspectives on circadian cell biology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- Article
- bindNode24: Competitive binding residue prediction with 60 % smaller model.Computational and structural biotechnology journal · 2025Article
- Prediction of Intrinsically Disordered Lipid Binding Residues with DisoLipPred.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Evaluation of predictions of disordered binding regions in the CAID2 experiment.Computational and structural biotechnology journal · 2025Review
- DRMAAtic: dramatically improve your cluster potential.Bioinformatics advances · 2025Article
- Prediction of Intrinsic Disorder Functions with DEPICTER2.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Assessing the role of evolutionary information for enhancing protein language model embeddings.Scientific reports · 2024Article
- Artificial Intelligence Learns Protein Prediction.Cold Spring Harbor perspectives in biology · 2024Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Intrinsic disorder (ID) in proteins is well-established in structural biology, with increasing evidence for its involvement in essential biological processes. As measuring dynamic ID behavior experimentally on a large scale remains difficult, scores of published ID predictors have tried to fill this gap. Unfortunately, their heterogeneity makes it difficult to compare performance, confounding biologists wanting to make an informed choice. To address this issue, the Critical Assessment of protein Intrinsic Disorder (CAID) benchmarks predictors for ID and binding regions as a community blind-test in a standardized computing environment. Here we present the CAID Prediction Portal, a web server executing all CAID methods on user-defined sequences. The server generates standardized output and facilitates comparison between methods, producing a consensus prediction highlighting high-confidence ID regions. The website contains extensive documentation explaining the meaning of different CAID statistics and providing a brief description of all methods. Predictor output is visualized in an interactive feature viewer and made available for download in a single table, with the option to recover previous sessions via a private dashboard. The CAID Prediction Portal is a valuable resource for researchers interested in studying ID in proteins. The server is available at the URL: https://caid.idpcentral.org.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.