Evidence map›Paper›PMID 36819870›Full record

ArticleChemical science2023

Thermodynamic origins of two-component multiphase condensates of proteins.

Pin Yu Chew, Jerelle A Joseph, Rosana Collepardo-Guevara, Aleks Reinhardt

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Article in Chemical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Diverse, distinct, and densely packed DNA nanostar droplets.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

4 authors.

Pin Yu ChewYusuf Hamied Department of Chemistry, University of Cambridge Cambridge CB2 1EW UK rc597@cam.ac.uk ar732@cam.ac.uk.ORCID https://orcid.org/0000-0002-6401-6154
Jerelle A JosephYusuf Hamied Department of Chemistry, University of Cambridge Cambridge CB2 1EW UK rc597@cam.ac.uk ar732@cam.ac.uk.ORCID https://orcid.org/0000-0003-4525-180X
Rosana Collepardo-GuevaraYusuf Hamied Department of Chemistry, University of Cambridge Cambridge CB2 1EW UK rc597@cam.ac.uk ar732@cam.ac.uk.
Aleks ReinhardtYusuf Hamied Department of Chemistry, University of Cambridge Cambridge CB2 1EW UK rc597@cam.ac.uk ar732@cam.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intracellular condensates are highly multi-component systems in which complex phase behaviour can ensue, including the formation of architectures comprising multiple immiscible condensed phases. Relying solely on physical intuition to manipulate such condensates is difficult because of the complexity of their composition, and systematically learning the underlying rules experimentally would be extremely costly. We address this challenge by developing a computational approach to design pairs of protein sequences that result in well-separated multilayered condensates and elucidate the molecular origins of these compartments. Our method couples a genetic algorithm to a residue-resolution coarse-grained protein model. We demonstrate that we can design protein partners to form multiphase condensates containing naturally occurring proteins, such as the low-complexity domain of hnRNPA1 and its mutants, and show how homo- and heterotypic interactions must differ between proteins to result in multiphasicity. We also show that in some cases the specific pattern of amino-acid residues plays an important role. Our findings have wide-ranging implications for understanding and controlling the organisation, functions and material properties of biomolecular condensates.

Identifiers

PMID36819870
PMCPMC9931050

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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.