Evidence map›Paper›PMID 38117593›Full record

ArticleMolecular biology of the cell2024

NAGPKin: Nucleation-and-growth parameters from the kinetics of protein phase separation.

Zsuzsa Sárkány, Francisco Figueiredo, Sandra Macedo-Ribeiro, Pedro M Martins

Open access · greenAbstract read
In one paragraph

Article in Molecular biology of the cell, 2024. 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
0.6field-weighted citation impact, top 29% of its field
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, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Protein-RNA condensation kinetics via filamentous nanoclusters.Protein science : a publication of the Protein Society · 2025
    Article
  4. Article
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 at 1 institution in 1 country.

Zsuzsa SárkányBiomolecular Structure and Function Group, IBMC - Instituto de Biologia Molecular e Celular, Porto 4200-135, Portugal.
Francisco FigueiredoBiomolecular Structure and Function Group, IBMC - Instituto de Biologia Molecular e Celular, Porto 4200-135, Portugal.
Sandra Macedo-RibeiroBiomolecular Structure and Function Group, IBMC - Instituto de Biologia Molecular e Celular, Porto 4200-135, Portugal.
Pedro M MartinsBiomolecular Structure and Function Group, IBMC - Instituto de Biologia Molecular e Celular, Porto 4200-135, Portugal.ORCID 0000-0002-6908-1828
i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The assembly of biomolecular condensate in eukaryotic cells and the accumulation of amyloid deposits in neurons are processes involving the nucleation and growth (NAG) of new protein phases. To therapeutically target protein phase separation, drug candidates are tested in in vitro assays that monitor the increase in the mass or size of the new phase. Limited mechanistic insight is, however, provided if empirical or untestable kinetic models are fitted to these progress curves. Here we present the web server NAGPKin that quantifies NAG rates using mass-based or size-based progress curves as the input data. A report is generated containing the fitted NAG parameters and elucidating the phase separation mechanisms at play. The NAG parameters can be used to predict particle size distributions of, for example, protein droplets formed by liquid-liquid phase separation (LLPS) or amyloid fibrils formed by protein aggregation. Because minimal intervention is required from the user, NAGPKin is a good platform for standardized reporting of LLPS and protein self-assembly data. NAGPKin is useful for drug discovery as well as for fundamental studies on protein phase separation. NAGPKin is freely available (no login required) at https://nagpkin.i3s.up.pt.

Indexed as

AmyloidPhase SeparationAmyloid

Identifiers

PMID38117593
PMCPMC10916857
OpenAlexW4390013983

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.