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

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.

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2025-11-05
DOI
https://doi.org/10.1021/acs.jcim.5c02066
Citations
1
Primary Topic
Lipid Membrane Structure and Behavior
Type
article
Field-Weighted Citation Impact
0.81
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article

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

Katarina E. Blow, Phillip J. Stansfeld, Matyas Parrag
1 citations
Journal of Chemical Information and Modeling
Lipid Membrane Structure and Behavior
0.81
article

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

Katarina E. Blow, Phillip J. Stansfeld, Matyas Parrag
article en
1 citations

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.

Journal of Chemical Information and ModelingVol. 65(22)
University of Warwick (GB)
Openalex Percentile: Top 22%
Lipid Membrane Structure and Behavior
0.81
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