Evidence map›Paper›PMID 42133743›Full record

ArticlePLoS computational biology2026

CASPULE: A computational tool to study sticker spacer polymer condensates.

Aniruddha Chattaraj, David S Kanovich, Srivastav Ranganathan, Eugene I Shakhnovich

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Aniruddha ChattarajDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-7105-6621
David S KanovichDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts, United States of America.ORCID https://orcid.org/0009-0004-8687-9876
Srivastav RanganathanDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts, United States of America.
Eugene I ShakhnovichDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-4769-2265

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phase separated condensates are recognized as a ubiquitous mechanism of spatial organization in cell biology. Biophysical modeling of condensates provides critical insights into the dynamics and functions of these subcellular structures that are difficult to extract via experiments. Here we present an efficient computational pipeline, CASPULE (Condensate Analysis of Sticker Spacer Polymers Using the LAMMPS Engine), to simulate and analyze the biological condensates made of sticker-spacer polymers. CASPULE implements a unique force field that combines traditional Langevin dynamics with a "detailed-balance proof" protocol for single-valent bond formation between stickers. This framework allows us to study the non‑trivial biophysics that emerge from single‑valent sticker interactions, coupled with the effect of separating the energetic contributions of stickers and spacers. We provide detailed documentation on how to setup the simulation environment, perform simulations and analyze the results. Through case studies, we highlight the utility and efficacy of our pipeline. Importantly, we provide statistical parameters to characterize the cluster size distribution often observed in biological systems. We envision this tool to be broadly useful in decoding the interplay of kinetics and thermodynamics underlying the formation and function of biological condensates.

Indexed as

Biomolecular CondensatesComputational BiologyPolymersSoftwareComputer SimulationPhase SeparationThermodynamicsPolymers

Identifiers

PMID42133743
PMCPMC13186343

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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.