Evidence map›Paper›PMID 34038536›Full record

ArticleNucleic acids research2021

ProLint: a web-based framework for the automated data analysis and visualization of lipid-protein interactions.

Besian I Sejdiu, D Peter Tieleman

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  9. OXA β-lactamases frombioRxiv : the preprint server for biology · 2024
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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

2 authors.

Besian I SejdiuCentre for Molecular Simulation and Department of Biological Sciences, University of Calgary, 2500 University Drive NW, Alberta T2N 1N4, Canada.ORCID 0000-0002-9913-4994
D Peter TielemanCentre for Molecular Simulation and Department of Biological Sciences, University of Calgary, 2500 University Drive NW, Alberta T2N 1N4, Canada.ORCID 0000-0001-5507-0688

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The functional activity of membrane proteins is carried out in a complex lipid environment. Increasingly, it is becoming clear that lipids are an important player in regulating or generally modulating their activity. A routinely used method to gain insight into this interplay between lipids and proteins are Molecular Dynamics (MD) simulations, since they allow us to study interactions at atomic or near-atomic detail as a function of time. A major bottleneck, however, is analyzing and visualizing lipid-protein interactions, which, in practice, is a time-demanding task. Here, we present ProLint (www.prolint.ca), a webserver that completely automates analysis of MD generated files and visualization of lipid-protein interactions. Analysis is modular allowing users to select their preferred method, and visualization is entirely interactive through custom built applications that enable a detailed qualitative and quantitative exploration of lipid-protein interactions. ProLint also includes a database of published MD results that have been processed through the ProLint workflow and can be visualized by anyone regardless of their level of experience with MD. The automated analysis, feature-rich visualization, database integration, and open-source distribution with an easy to install process, will allow ProLint to become a routine workflow in lipid-protein interaction studies.

Indexed as

Molecular Dynamics SimulationSoftwareCholesterolInternetLipidsMembrane ProteinsPhosphatidylinositolsReceptors, G-Protein-CoupledSmoothened ReceptorCholesterolLipidsMembrane ProteinsPhosphatidylinositolsReceptors, G-Protein-CoupledSmoothened Receptor

Identifiers

PMID34038536
PMCPMC8262751

What OpenQuestion holds

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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.