Journal of Chemical Theory and ComputationBiophysicsPeer-reviewed journal article
TS2CG as a membrane builder
Fabian SchuhmanniD, Jan A. StevensiD, Neda Rahmani, Isabell LindahliD, Chelsea M. BrowniD, Christopher BrasnettiD, Dimitrios Anastasiou, Adrià Bravo VidaliD, Beatrice J. GeigeriD, Siewert J. MarrinkiD, Weria PezeshkianiD
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Abstract
Molecular dynamics (MD) simulations excel at capturing biological processes at the molecular scale but rely on a well-defined initial structure. As MD simulations now extend to whole-cell-level modeling, new tools are needed to efficiently build initial structures. Here, we introduce TS2CG version 2, designed to construct coarse-grained membrane structures with any desired shape and lateral organization. This version enables precise placement of lipids and proteins based on curvature preference, facilitating the creation of large, near-equilibrium membranes. Additional features include controlled pore generation and the placement of specific lipids at membrane edges for stabilization. Moreover, a Python interface allows users to extend functionality while maintaining the high performance of the C++ core. To demonstrate its capabilities, we showcase challenging simulations, including a Mobius strip membrane, a vesicle with lipid domain as continental plates (Martini globe), and entire mitochondrial membranes exhibiting lipid heterogeneity due to curvature, along with a comprehensive set of tutorials.
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: clustering
- research focus: trajectory inference
- research focus: differential expression
- approach: deep learning
- approach: statistical model
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