Evidence map›Paper›PMID 38181073›Full record

ArticleScience advances2024

Active learning of the thermodynamics-dynamics trade-off in protein condensates.

Yaxin An, Michael A Webb, William M Jacobs

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
9.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Distinguishing near- versus off-critical phase behaviors of intrinsically disordered proteins.Reports on progress in physics. Physical Society (Great Britain) · 2026
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  5. Review
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  9. Material properties of biomolecular condensates emerge from nanoscale dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Prediction of phase-separation propensities of disordered proteins from sequence.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
  12. Review
  13. Sequence complexity and monomer rigidity control the morphologies and aging dynamics of protein aggregates.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  14. Article
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  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Yaxin AnDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0003-2578-369X
Michael A WebbDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0002-7420-4474
William M JacobsDepartment of Chemistry, Princeton University, Princeton, NJ 08544, USA.ORCID 0000-0003-0574-4319
Princeton University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phase-separated biomolecular condensates exhibit a wide range of dynamic properties, which depend on the sequences of the constituent proteins and RNAs. However, it is unclear to what extent condensate dynamics can be tuned without also changing the thermodynamic properties that govern phase separation. Using coarse-grained simulations of intrinsically disordered proteins, we show that the dynamics and thermodynamics of homopolymer condensates are strongly correlated, with increased condensate stability being coincident with low mobilities and high viscosities. We then apply an "active learning" strategy to identify heteropolymer sequences that break this correlation. This data-driven approach and accompanying analysis reveal how heterogeneous amino acid compositions and nonuniform sequence patterning map to a range of independently tunable dynamic and thermodynamic properties of biomolecular condensates. Our results highlight key molecular determinants governing the physical properties of biomolecular condensates and establish design rules for the development of stimuli-responsive biomaterials.

Indexed as

Intrinsically Disordered ProteinsProblem-Based LearningAmino AcidsBiocompatible MaterialsThermodynamicsAmino AcidsBiocompatible MaterialsIntrinsically Disordered Proteins

Identifiers

PMID38181073
PMCPMC10775998
OpenAlexW4390604183

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.