ArticleBiophysical journal2021
Metapredict: a fast, accurate, and easy-to-use predictor of consensus disorder and structure.
Article in Biophysical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 170 papers, 2 of them syntheses that pooled it.
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Who cites it
170 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- An AI-Ready Phosphorylation Meta-Analysis forJournal of proteome research · 2026Pooled it
- Phosphorylation in theJournal of proteome research · 2024Pooled it
- Mechanistic Interpretability of Protein Language Models Reveals Encoded Structural and Functional Properties of Intrinsically Disordered Proteins.bioRxiv : the preprint server for biology · 2026Article
- Chain collapse, reduced dielectric, and water release drive protein phase separation.Biophysical journal · 2026Article
- Beyond the structure-function paradigm: A comprehensive review of intrinsically disordered proteins.Biochemistry and biophysics reports · 2026Review
- Article
- Bacterial ribonucleoprotein bodies maintain an acidic pH environment as a mechanism of enzyme regulation.Nature communications · 2026Article
- Structural Features of a Tiny Viral Protein, ORF7b of SARS-CoV-2.International journal of molecular sciences · 2026Article
- Spatially resolved profiling of steroid nuclear receptors reveals a role for the disordered N-terminal domains in genome targeting and AP-1 interaction.Genome research · 2026Article
- Pioneer-factor activity requires stable chromatin occupancy mediated by both sequence-specific binding and disordered protein domains.Science advances · 2026Article
- Self-assembling proteins compose the chemically resistant shell biomaterial of planktonic tintinnid ciliates.Nature communications · 2026Article
- Selective targeting of a histone-like silencer Sfx to the R6K conjugal transfer operon.Nucleic acids research · 2026Article
- Physics-guided design of intrinsically disordered proteins.bioRxiv : the preprint server for biology · 2026Article
- The Polymers of Life: Exploring Cellular Function Through Polymer Concepts.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Exploring the conformational landscape of adenylate kinase and beyond with protein folding models.Scientific reports · 2026Article
- The promise of AlphaFold for gene structure annotation.Nucleic acids research · 2026Article
- A SWI/SNF-specific Ig-like domain, SWIFT, is a transcription factor binding platform.Science (New York, N.Y.) · 2026Article
- Investigating Phase Separation in Genome Folding via Multiscale Computational Modeling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Navigating condensate micropolarity to enhance small-molecule drug targeting.Nature chemical biology · 2026Article
- A Deep-Learning Atlas of XPO1-Mediated Nuclear Export at Proteome Scale.bioRxiv : the preprint server for biology · 2026Article
110 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intrinsically disordered proteins and protein regions make up a substantial fraction of many proteomes in which they play a wide variety of essential roles. A critical first step in understanding the role of disordered protein regions in biological function is to identify those disordered regions correctly. Computational methods for disorder prediction have emerged as a core set of tools to guide experiments, interpret results, and develop hypotheses. Given the multiple different predictors available, consensus scores have emerged as a popular approach to mitigate biases or limitations of any single method. Consensus scores integrate the outcome of multiple independent disorder predictors and provide a per-residue value that reflects the number of tools that predict a residue to be disordered. Although consensus scores help mitigate the inherent problems of using any single disorder predictor, they are computationally expensive to generate. They also necessitate the installation of multiple different software tools, which can be prohibitively difficult. To address this challenge, we developed a deep-learning-based predictor of consensus disorder scores. Our predictor, metapredict, utilizes a bidirectional recurrent neural network trained on the consensus disorder scores from 12 proteomes. By benchmarking metapredict using two orthogonal approaches, we found that metapredict is among the most accurate disorder predictors currently available. Metapredict is also remarkably fast, enabling proteome-scale disorder prediction in minutes. Importantly, metapredict is a fully open source and is distributed as a Python package, a collection of command-line tools, and a web server, maximizing the potential practical utility of the predictor. We believe metapredict offers a convenient, accessible, accurate, and high-performance predictor for single-proteins and proteomes alike.
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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.