DropFit: Determination of the Critical Concentration for Protein Liquid–Liquid Phase Separation

In the liquid-liquid phase separation of proteins, dense liquid droplets often form within the dilute phase below the critical concentration. The resulting size distribution of these precritical droplets can be described by a scale-invariant distribution, which is characterized by an increasing average as the concentration approaches from below the critical value. This phenomenon can be leveraged for the quantitative estimation of the critical concentration. Here, to facilitate applications of this approach, we present the DropFit web server (https://www-cohsoftware.ch.cam.ac.uk/index.php/dropfit). DropFit can be used to estimate the critical concentration using experimental data on the length, area, or volume of the precritical droplets, which are taken away from the critical concentration and thus be more accurate and reproducible. We anticipate that the accurate value of the critical concentration under different experimental conditions will help understand the contributions from different macromolecules to the formation of protein condensates, and to investigate the perturbations that lead to pathological processes through the disruption of membraneless organelles.

Authors

Institutions

Publication Details

Journal
Journal of Molecular Biology
Published
2025-06-11
DOI
https://doi.org/10.1016/j.jmb.2025.169294
Citations
1
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
0.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DropFit: Determination of the Critical Concentration for Protein Liquid–Liquid Phase Separation

Michele Vendruscolo, Michaela Brezinova
1 citations
Journal of Molecular Biology
RNA Research and Splicing
0.81
article

DropFit: Determination of the Critical Concentration for Protein Liquid–Liquid Phase Separation

Michele Vendruscolo, Michaela Brezinova
article en
1 citations

Abstract

In the liquid-liquid phase separation of proteins, dense liquid droplets often form within the dilute phase below the critical concentration. The resulting size distribution of these precritical droplets can be described by a scale-invariant distribution, which is characterized by an increasing average as the concentration approaches from below the critical value. This phenomenon can be leveraged for the quantitative estimation of the critical concentration. Here, to facilitate applications of this approach, we present the DropFit web server (https://www-cohsoftware.ch.cam.ac.uk/index.php/dropfit). DropFit can be used to estimate the critical concentration using experimental data on the length, area, or volume of the precritical droplets, which are taken away from the critical concentration and thus be more accurate and reproducible. We anticipate that the accurate value of the critical concentration under different experimental conditions will help understand the contributions from different macromolecules to the formation of protein condensates, and to investigate the perturbations that lead to pathological processes through the disruption of membraneless organelles.

Journal of Molecular BiologyVol. 437(19)
University of Padua (IT), University of Cambridge (GB)
UK Research and Innovation, Associazione Italiana per la Ricerca sul Cancro
Openalex Percentile: Top 27%
RNA Research and Splicing
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

DropFit: Determination of the Critical Concentration for Protein Liquid–Liquid Phase Separation — Michele Vendruscolo, Michaela Brezinova · Journal of Molecular Biology (2025) | TGRS Research Map | TGRS