Evidence map›Paper›PMID 41190951›Full record

ArticleJournal of chemical information and modeling2025

CCD2MD: A Suite of Packages for Preparing Co-Folded Outputs for Molecular Dynamics Simulations.

Katarina E Blow, Matyas Parrag, Phillip J Stansfeld

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

3 authors.

Katarina E BlowSchool of Life Sciences, Gibbet Hill Campus, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, U.K.ORCID 0000-0003-2011-565X
Matyas ParragSchool of Life Sciences, Gibbet Hill Campus, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, U.K.
Phillip J StansfeldSchool of Life Sciences, Gibbet Hill Campus, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, U.K.ORCID 0000-0001-8800-7669

Funding

Wellcome Trust
6 · The paper itself

Abstract

Protein-lipid interactions play a crucial role in the stability and function of membrane proteins. While experimental approaches to characterize these interactions in a native-like membrane environment can be challenging, computational techniques offer a powerful alternative for identifying and analyzing potential binding sites. Recent advances in cofolding methods now enable the prediction of holo protein structures, capturing conformational changes that may occur upon lipid binding and thereby improving the accuracy of binding site characterization. However, the outputs from these methods often require postprocessing to ensure compatibility with widely used molecular dynamics force fields. In this work, we introduce CCD2MD, a modular toolkit designed to convert cofolding outputs into simulation-ready systems for GROMACS. CCD2MD supports both atomistic and coarse-grained representations with or without membrane embedding. While CCD2MD is exemplified here with protein-lipid systems, its modular design allows for straightforward adaptation to other cofolded biomolecular assemblies, incorporating complexes with nucleic acids, small molecules, carbohydrates, or metal ions, thereby enabling a variety of simulation setups across multiple scales.

Indexed as

Membrane ProteinsMolecular Dynamics SimulationProtein FoldingSoftwareProtein ConformationMembrane Proteins

Identifiers

PMID41190951
PMCPMC12648654

What OpenQuestion holds

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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.