Evidence map›Paper›PMID 41432449›Full record

ArticleJournal of chemical theory and computation2026

MemPrO: A Predictive Tool for Membrane Protein Orientation.

Matyas Parrag, Phillip J Stansfeld

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Matyas ParragSchool of Life Sciences, University of Warwick, Coventry CV4 7AL, U.K.
Phillip J StansfeldSchool of Life Sciences, University of Warwick, Coventry CV4 7AL, U.K.ORCID 0000-0001-8800-7669

Funding

Wellcome Trust
6 · The paper itself

Abstract

Membrane proteins play a vital role in numerous cellular processes, including ion transport, intercellular communication, and antibiotic resistance. Ensuring their accurate orientation within lipid bilayers is essential for reliable molecular simulations and structural analyses. We introduce MemPrO, a robust tool designed to orient a wide range of membrane-associated proteins with precision. While existing tools perform well in standard scenarios, they often struggle with complex configurations such as multibilayer systems or peripheral membrane proteins. MemPrO addresses these limitations by delivering detailed orientation data for proteins in both single and double membrane environments. In addition to mapping spatial arrangements relative to lipid bilayers, MemPrO incorporates advanced analytical features, including membrane curvature analysis. It also extends its capability to predict the position and orientation of the bacterial cell wall. By integrating these features, MemPrO significantly enhances our ability to model and interpret the intricate architecture of cellular envelopes. This supports both fundamental research and the development of novel therapeutic strategies through a deeper understanding of membrane-protein interactions.

Indexed as

Membrane ProteinsLipid BilayersMolecular Dynamics SimulationLipid BilayersMembrane Proteins

Identifiers

PMID41432449
PMCPMC12805567

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.