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Prediction of phase-separation propensities of disordered proteins from sequence

Proceedings of the National Academy of Sciences(2025)10.1073/pnas.2417920122Source: DataRank Database

Prediction of phase-separation propensities of disordered proteins from sequence is a research paper published in Proceedings of the National Academy of Sciences (2025). On theSindex it has a DataRank of 0. It has been cited 78 times.

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Open Access78 citations

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Enrichment:Funding (6 grants)Impact (FWCI 32.59)OA: hybridTopics (39)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Giulio Tesei ORCID,Fatima Zaidi ORCID,Tanja Mittag ORCID,Kresten Lindorff‐Larsen ORCID,Sören von Bülow ORCID

Live enrichment

PubMed:40131954 PMC:PMC12002312 OpenAlex:https://openalex.org/W4408829264

European Molecular Biology Organization

Grant: ALTF 810-2022

Novo Nordisk Fonden

Grant: NNF18OC0033950

Novo Nordisk Fonden

Grant: NNF18OC0032608

HHS | National Institutes of Health

Grant: R01NS121114

American Lebanese Syrian Associated Charities

Grant: NA

Novo Nordisk Foundation

Grant: unidentified

unidentified

FWCI

32.59

Citation Percentile

1.0%

Citation Trend

2025

2026

hybridLicense: cc-by-nc-nd

journalhttps://doi.org/10.1073/pnas.2417920122

publisherhttps://doi.org/10.1073/pnas.2417920122

publisherhttps://pnas.org/doi/pdf/10.1073/pnas.2417920122

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40131954

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12002312

Fields of Study

RNA Research and SplicingRNA modifications and cancerProtein Structure and Dynamics0206 medical engineering02 engineering and technologyIntrinsically Disordered ProteinsHumansThermodynamicsMolecular Dynamics SimulationMachine LearningHydrophobic and Hydrophilic Interactions

MeSH Terms

Machine LearningAmino Acid SequenceHumansThermodynamicsProteomeMolecular Dynamics SimulationHydrophobic and Hydrophilic InteractionsIntrinsically Disordered Proteins

Keywords

Sequence (biology)Phase (matter)Separation (statistics)Chemical physicsCrystallographyMaterials scienceChemistryComputer scienceBiochemistryMachine learningProteinsPhase separationDisordered proteinsBiophysicalIntrinsically Disordered ProteinsHumansThermodynamicsBiological SciencesMolecular Dynamics SimulationHydrophobic and Hydrophilic Interactions

Sustainable Development Goals

SDG 0: Affordable and clean energy

Prediction of phase-separation propensities of disordered proteins from sequence

FAIR Checklist

Authors (5)

Funding (6 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)