ArticleBMC bioinformatics2012
MetaDisorder: a meta-server for the prediction of intrinsic disorder in proteins.
Article in BMC bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 173 papers.
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Who cites it
173 citing papers in PubMed.
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- Modern resources for intrinsic disorder predictions: protein language models, deep learning, meta-servers, and databases.Cellular and molecular life sciences : CMLS · 2026Review
- Chameleonic Nature of Aβ: Implications for Alzheimer's and Other Amyloid Diseases.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025Review
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- Dynamic ensembles of SARS-CoV-2 N-protein reveal head-to-head coiled-coil-driven oligomerization and phase separation.Nucleic acids research · 2025Article
- The intrinsically disordered AB region: a key modulator of the molecular properties of human RXRγ.Cell communication and signaling : CCS · 2025Article
- Both the transcriptional activator, Bcd, and repressor, Cic, form small mobile oligomeric clusters.Biophysical journal · 2025Article
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- NovelInternational journal of ophthalmology · 2025Article
- Functional specialization of the subdomains of a bactofilin driving stalk morphogenesis inbioRxiv : the preprint server for biology · 2024Article
- Parvovirus B19 and Human Parvovirus 4 Encode Similar Proteins in a Reading Frame Overlapping the VP1 Capsid Gene.Viruses · 2024Article
- Experimental methods to study the structure and dynamics of intrinsically disordered regions in proteins.Current research in structural biology · 2024Review
- Phase separations in oncogenesis, tumor progressions and metastasis: a glance from hallmarks of cancer.Journal of hematology & oncology · 2023Review
- Tutorial: a guide for the selection of fast and accurate computational tools for the prediction of intrinsic disorder in proteins.Nature protocols · 2023Review
- Identification and Functional Characterization of Mutation inLife (Basel, Switzerland) · 2023Article
- Pharmacological perturbation of the phase-separating protein SMNDC1.Nature communications · 2023Article
113 more citing papers are in PubMed but not listed here.
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2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIntrinsically unstructured proteins (IUPs) lack a well-defined three-dimensional structure. Some of them may assume a locally stable structure under specific conditions, e.g. upon interaction with another molecule, while others function in a permanently unstructured state. The discovery of IUPs challenged the traditional protein structure paradigm, which stated that a specific well-defined structure defines the function of the protein. As of December 2011, approximately 60 methods for computational prediction of protein disorder from sequence have been made publicly available. They are based on different approaches, such as utilizing evolutionary information, energy functions, and various statistical and machine learning methods.
resultsGiven the diversity of existing intrinsic disorder prediction methods, we decided to test whether it is possible to combine them into a more accurate meta-prediction method. We developed a method based on arbitrarily chosen 13 disorder predictors, in which the final consensus was weighted by the accuracy of the methods. We have also developed a disorder predictor GSmetaDisorder3D that used no third-party disorder predictors, but alignments to known protein structures, reported by the protein fold-recognition methods, to infer the potentially structured and unstructured regions. Following the success of our disorder predictors in the CASP8 benchmark, we combined them into a meta-meta predictor called GSmetaDisorderMD, which was the top scoring method in the subsequent CASP9 benchmark.
conclusionsA series of disorder predictors described in this article is available as a MetaDisorder web server at http://iimcb.genesilico.pl/metadisorder/. Results are presented both in an easily interpretable, interactive mode and in a simple text format suitable for machine processing.
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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 OpenQuestion graph.