ArticleThe Journal of biological chemistry2023
Intrinsically disordered regions that drive phase separation form a robustly distinct protein class.
Article in The Journal of biological chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.
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Who cites it
76 citing papers in PubMed, 101 citations in OpenAlex.
- Intrinsic Disorder as a New Frontier in Antimicrobial Resistance and Bacterial Fitness.MicrobiologyOpen · 2026Review
- The evolutionary origins of streptophyte multicellularity.The New phytologist · 2026Review
- Article
- Purification and preparation of Marchantia polymorpha Auxin Response Factor 2 for phase separation studies.FEBS open bio · 2026Article
- DNA-Induced Entropic Gain Triggers an Allosteric Switch for Biomolecular Condensation of Heat Shock Transcription Factor 1.Angewandte Chemie (International ed. in English) · 2026Article
- Phase separation of MARCH1 promotes rectal adenocarcinoma progression through PHLPP2 ubiquitination.Translational cancer research · 2026Article
- Evidence for dual pathways of Tc1/mariner domestication in Drosophila.BMC biology · 2026Article
- amyloid-predict and LLPS-predict: Predicting phase separation propensities in the intrinsically disordered proteome.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Ser423-phosphorylated MECP2 (MECP2-pS423) accumulates in human brain, cerebrospinal fluid and serum in sporadic Alzheimer's disease.Acta neuropathologica · 2026Article
- Investigating Phase Separation in Genome Folding via Multiscale Computational Modeling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Phase separation of PGL-3 driven by structured domains that oligomerize and interact with RGG motifs.EMBO reports · 2026Article
- From chromosomal protein disorder to chromatin phase separation.Epigenetics & chromatin · 2026Review
- Experimental Data Driven AI Framework for Flexible Protein Conformational Reconstruction.bioRxiv : the preprint server for biology · 2026Article
- Article
- Modern resources for intrinsic disorder predictions: protein language models, deep learning, meta-servers, and databases.Cellular and molecular life sciences : CMLS · 2026Review
- The secreted staphylococcal biofilm protein Sbp forms biomolecular condensates in the presence of DNA.Protein science : a publication of the Protein Society · 2026Article
- Intrinsically disordered regions in the NLRP family of receptors act as regulatory hubs for inflammasome condensation and activation.Frontiers in immunology · 2026Article
- ADA2 Forms Nuclear Condensates with GCN5 and ATP-Citrate Lyase (ACL) to Modulate H3K9 Acetylation at Genes Functioning in Rice Meristems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- From dynamic condensates to pathological assemblies: the phase behavior of tau andFrontiers in molecular neuroscience · 2026Review
- Decoding intrinsically disordered regions in biomolecular condensates.Fundamental research · 2026Review
16 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
Protein phase separation is thought to be a primary driving force for the formation of membrane-less organelles, which control a wide range of biological functions from stress response to ribosome biogenesis. Among phase-separating (PS) proteins, many have intrinsically disordered regions (IDRs) that are needed for phase separation to occur. Accurate identification of IDRs that drive phase separation is important for testing the underlying mechanisms of phase separation, identifying biological processes that rely on phase separation, and designing sequences that modulate phase separation. To identify IDRs that drive phase separation, we first curated datasets of folded, ID, and PS ID sequences. We then used these sequence sets to examine how broadly existing amino acid property scales can be used to distinguish between the three classes of protein regions. We found that there are robust property differences between the classes and, consequently, that numerous combinations of amino acid property scales can be used to make robust predictions of protein phase separation. This result indicates that multiple, redundant mechanisms contribute to the formation of phase-separated droplets from IDRs. The top-performing scales were used to further optimize our previously developed predictor of PS IDRs, ParSe. We then modified ParSe to account for interactions between amino acids and obtained reasonable predictive power for mutations that have been designed to test the role of amino acid interactions in driving protein phase separation. Collectively, our findings provide further insight into the classification of IDRs and the elements involved in protein phase separation.
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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 OpenQuestion graph.