Evidence map›Paper›PMID 41125584›Full record

ArticleNature communications2025

Non-equilibrium demixing and dissolution of chiral coacervates via intrinsic catalysis.

Saurabh Gupta, Sangam Jha, Chiranjit Mahato, Dibyendu Das

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Saurabh GuptaDepartment of Chemical Sciences and Centre for Advanced Functional Materials, Indian Institute of Science Education and Research (IISER) Kolkata, Mohanpur, India.
Sangam JhaDepartment of Chemical Sciences and Centre for Advanced Functional Materials, Indian Institute of Science Education and Research (IISER) Kolkata, Mohanpur, India.
Chiranjit MahatoDepartment of Chemical Sciences and Centre for Advanced Functional Materials, Indian Institute of Science Education and Research (IISER) Kolkata, Mohanpur, India.
Dibyendu DasDepartment of Chemical Sciences and Centre for Advanced Functional Materials, Indian Institute of Science Education and Research (IISER) Kolkata, Mohanpur, India. dasd@iiserkol.ac.in.ORCID http://orcid.org/0000-0001-6597-8454

Funding

Department of Biotechnology, Ministry of Science and Technology (DBT) BT/PR44972/NNT/28/1810/2021
6 · The paper itself

Abstract

Membraneless organelles seen in extant biology leverage biochemical energy sources to realize intracellular non-equilibrium microcompartments. Constructing their synthetic mimics from small molecules can contribute towards our understanding of active phase separation and their role in the chemical emergence of compartments. Herein, we develop a model of synthetic membraneless organelles as non-equilibrium droplet phase and are accessed via homotypic interactions between small activated molecule and short peptide. The constituent short peptide's residues mimic hydrolase-like activity via covalent catalysis which leads to vacuolization and subsequent generation of the dissolved equilibrium phase as a function of time. Despite the short tetrameric sequence, the peptide residues help in demixing (phase separation) as well as catalysis which is critical for achieving such non-equilibrium behaviour. Importantly, the low molecular weight active coacervates behave like chiral microenvironment, which further promotes kinetic resolution in chemical transformations, thus mirroring the dynamic and functional attributes associated with complex membraneless organelles.

Indexed as

OrganellesPeptidesCatalysisKineticsPeptides

Identifiers

PMID41125584
PMCPMC12546700

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.