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Record W3023459932 · doi:10.1101/2020.05.04.076299

Reentrant liquid condensate phase of proteins is stabilized by hydrophobic and non-ionic interactions

2020· preprint· en· W3023459932 on OpenAlexafffund
Georg Krainer, Timothy J. Welsh, Jerelle A. Joseph, Jorge R. Espinosa, Sina Wittmann, Ella de Csilléry, Akshay Sridhar, Zenon Toprakcioglu, Giedre Gudiškytė, Magdalena A. Czekalska, William E. Arter, Peter St George‐Hyslop, Anthony A. Hyman, Rosana Collepardo‐Guevara, Simon Alberti, Tuomas P. J. Knowles

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2020
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsUniversity of TorontoUniversity Health Network
FundersBiotechnology and Biological Sciences Research CouncilCanadian Institutes of Health ResearchDirectorate for Biological SciencesKing's College LondonHorizon 2020 Framework ProgrammeUniversity of CambridgeEngineering and Physical Sciences Research CouncilAlzheimer SocietyWellcome TrustAlzheimer's SocietyWinston Churchill Foundation of the United StatesConsortium canadien en neurodégénérescence associée au vieillissementEuropean CommissionFondation Brain CanadaALS Society of Canada
KeywordsChemical physicsSalt (chemistry)Phase (matter)Ionic liquidChemistryCondensationDruggabilityBiophysicsIonic bondingHydrophobic effectFunction (biology)NanotechnologyChemical engineeringMaterials sciencePhysicsIonOrganic chemistryThermodynamicsBiochemistryBiologyCell biology

Abstract

fetched live from OpenAlex

Abstract Many cellular proteins demix spontaneously from solution to form liquid condensates. These phase-separated systems have wide-ranging roles in health and disease. Elucidating the molecular driving forces underlying liquid–liquid phase separation (LLPS) is therefore a key objective for understanding biological function and malfunction. Here we show that proteins implicated in cellular LLPS, including FUS, TDP-43, Brd4, Sox2, and Annexin A11, which form condensates at low salt concentrations, can reenter a phase-separated regime at high salt concentrations. By bringing together experiments and simulations, we demonstrate that phase separation in the high-salt regime is driven by hydrophobic and non-ionic interactions, and is mechanistically distinct from the low-salt regime, where condensates are additionally stabilized by electrostatic forces. Our work thus provides a new view on the cooperation of hydrophobicity and non-ionic interactions as non-specific driving forces for the condensation process, with important implications for aberrant function, druggability, and material properties of biomolecular condensates.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.269
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations58
Published2020
Admission routes2
Has abstractyes

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