ReviewGenomics, proteomics & bioinformatics2021
Computational Screening of Phase-separating Proteins.
Review in Genomics, proteomics & bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed, 74 citations in OpenAlex.
- Rethinking bioinformatics in liquid-liquid phase separation: data resources, predictive models, and an event-centric perspective.Briefings in bioinformatics · 2026Review
- Article
- Small molecules modulate the biomolecular condensates and liquid‒liquid phase separation.Acta pharmaceutica Sinica. B · 2026Review
- Phase Separation of NFIB Suppresses SLC3A2-Mediated Ferroptosis in Castration-Resistant Prostate Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Machine Learning-Guided Engineering of Protein Phase Separation Properties in Immune Regulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Comprehensive analysis of liquid-liquid phase separation-related genes in osteosarcoma: implications for prognosis, immune infiltration and drug sensitivity.Translational cancer research · 2026Article
- RNA-Binding Proteins in Dinoflagellates.International journal of molecular sciences · 2026Review
- Empirical Assessment of Sequence-Based Predictions of Intrinsically Disordered Regions Involved in Phase Separation.Biomolecules · 2025Article
- Comprehensive protein datasets and benchmarking for liquid-liquid phase separation studies.Genome biology · 2025Article
- Functions of Intrinsically Disordered Regions.Biology · 2025Review
- Prediction of liquid-phase separation proteins using Siamese network with feature fusion.Briefings in bioinformatics · 2025Article
- Article
- Functional Biomaterials Derived from Protein Liquid-Liquid Phase Separation and Liquid-to-Solid Transition.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- Liquid-Liquid Phase Separation Associated with Intrinsically Disordered Proteins: Experimental and Computational Tools.Current protein & peptide science · 2025Review
- Review
- Decoding Missense Variants by Incorporating Phase Separation via Machine Learning.Nature communications · 2024Article
- A two-task predictor for discovering phase separation proteins and their undergoing mechanism.Briefings in bioinformatics · 2024Article
- Long way up: rethink diseases in light of phase separation and phase transition.Protein & cell · 2024Review
- Machine learning predictor PSPire screens for phase-separating proteins lacking intrinsically disordered regions.Nature communications · 2024Article
- A sequence-based model for identifying proteins undergoing liquid-liquid phase separation/forming fibril aggregates via machine learning.Protein science : a publication of the Protein Society · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phase separation is an important mechanism that mediates the compartmentalization of proteins in cells. Proteins that can undergo phase separation in cells share certain typical sequence features, like intrinsically disordered regions (IDRs) and multiple modular domains. Sequence-based analysis tools are commonly used in the screening of these proteins. However, current phase separation predictors are mostly designed for IDR-containing proteins, thus inevitably overlook the phase-separating proteins with relatively low IDR content. Features other than amino acid sequence could provide crucial information for identifying possible phase-separating proteins: protein-protein interaction (PPI) networks show multivalent interactions that underlie phase separation process; post-translational modifications (PTMs) are crucial in the regulation of phase separation behavior; spherical structures revealed in immunofluorescence (IF)images indicate condensed droplets formed by phase-separating proteins, distinguishing these proteins from non-phase-separating proteins. Here, we summarize the sequence-based tools for predicting phase-separating proteins and highlight the importance of incorporating PPIs, PTMs, and IF images into phase separation prediction in future studies.
Indexed as
Identifiers
What OpenQuestion holds
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.