Evidence map›Paper›PMID 39271915›Full record

ArticleNature chemistry2024

Small-molecule properties define partitioning into biomolecular condensates.

Sabareesan Ambadi Thody, Hanna D Clements, Hamid Baniasadi, Andrew S Lyon, Matthew S Sigman, Michael K Rosen

Abstract read
In one paragraph

Article in Nature chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed
–field-weighted citation impact
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

89 citing papers in PubMed.

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  15. MgChem & bio engineering · 2026
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29 more citing papers are in PubMed but not listed here.

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

6 authors.

Sabareesan Ambadi Thody *Department of Biophysics, Howard Hughes Medical Institute, UT Southwestern Medical Center, Dallas, TX, USA. sabareesan.ambadithody@utsouthwestern.edu.ORCID 0000-0003-1418-3410
Hanna D Clements *Department of Chemistry, University of Utah, Salt Lake City, UT, USA.ORCID 0000-0002-4224-5378
Hamid BaniasadiDepartment of Biochemistry, UT Southwestern Medical Center, Dallas, TX, USA.
Andrew S LyonDepartment of Biophysics, Howard Hughes Medical Institute, UT Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0001-7681-4981
Matthew S SigmanDepartment of Chemistry, University of Utah, Salt Lake City, UT, USA. matt.sigman@utah.edu.ORCID 0000-0002-5746-8830
Michael K RosenDepartment of Biophysics, Howard Hughes Medical Institute, UT Southwestern Medical Center, Dallas, TX, USA. michael.rosen@utsouthwestern.edu.ORCID 0000-0002-0775-7917

Funding

Data Science Guided Organic Reaction DevelopmentR35GM136271 · NIGMS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI MATTHEW S SIGMAN · 2020 to 2026
$3.5M
Cell Organization Through Phase Separation: Mechanisms, Functions and DiseaseR35GM141736 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI ROSEN, MICHAEL K · 2021 to 2025
$1.8M
NIGMS NIH HHS R35 GM136271NIGMS NIH HHS R35 GM141736
6 · The paper itself

Abstract

Biomolecular condensates regulate cellular function by compartmentalizing molecules without a surrounding membrane. Condensate function arises from the specific exclusion or enrichment of molecules. Thus, understanding condensate composition is critical to characterizing condensate function. Whereas principles defining macromolecular composition have been described, understanding of small-molecule composition remains limited. Here we quantified the partitioning of ~1,700 biologically relevant small molecules into condensates composed of different macromolecules. Partitioning varied nearly a million-fold across compounds but was correlated among condensates, indicating that disparate condensates are physically similar. For one system, the enriched compounds did not generally bind macromolecules with high affinity under conditions where condensates do not form, suggesting that partitioning is not governed by site-specific interactions. Correspondingly, a machine learning model accurately predicts partitioning using only computed physicochemical features of the compounds, chiefly those related to solubility and hydrophobicity. These results suggest that a hydrophobic environment emerges upon condensate formation, driving the enrichment and exclusion of small molecules.

Indexed as

Biomolecular CondensatesHydrophobic and Hydrophilic InteractionsMachine LearningMacromolecular SubstancesSmall Molecule LibrariesSolubilityMacromolecular SubstancesSmall Molecule Libraries

Identifiers

PMID39271915
PMCPMC11527791

What OpenQuestion holds

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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.