Installation#
Before installing Mosaic, ensure your system meets the following requirements.
Prerequisites#
Python: 3.11+ (3.11 recommended)
Operating System:
Linux (recommended)
macOS (some performance limitations noted below)
Windows 10+ (not tested but principally supported)
Hardware:
Standard consumer laptops (8GB RAM recommended)
NVIDIA GPU with CUDA support required for: membrane segmentation, template matching and molecular dynamics simulations (oldest model tested: RTX 3090)
Note
macOS Users: Due to compatibility issues, some functions (edge length-based remeshing and certain parametrizations) have reduced performance compared to Linux systems, but yield the same output.
Installation#
We recommend creating a virtual environment for a clean and isolated setup.
Python’s built-in option, suitable for simpler setups.
python3 -m venv mosaic
source mosaic/bin/activate
Best for cross-platform compatibility and managing complex dependencies.
conda create --name mosaic -c conda-forge python=3.11
conda activate mosaic
After setting up your environment, Mosaic can be installed from PyPI
pip install "mosaic-gui[all]"
mosaic --version # Smoke test to verify installation
Note
Installing pymeshlab from PyPi has proven troublesome on some Linux distributions. If the Mosaic installation fails with pymeshlab-related issues, you can either build pymeshlab from GitHub
python3 -m pip install git+https://github.com/cnr-isti-vclab/PyMeshLab.git@main
or follow their Tutorial for installing the lastest binaries for your system.
After installing pymeshlab you have to install Mosaic again.
Optional Dependencies#
Mosaic provides specialized functionality through the following optional components.
DTS Simulations#
If you intend to use Mosaic for dynamically triangulated surface (DTS) simulations, please install these additional tools
FreeDTS: Can be installed by following the instructions at weria-pezeshkian/FreeDTS. Alternatively, use our Python wrapper:
pip install pyfreedts
Trimem: Install from the repository at bio-phys/trimem:
git clone --recurse-submodules https://github.com/bio-phys/trimem.git
pip install trimem/
DTS Backmapping#
If you intend to use Mosaic for creating coarse-grained representations of meshes, install TS2CG (weria-pezeshkian/TS2CG-v2.0) for backmapping and Martinize2 (marrink-lab/vermouth-martinize) for creating coarse-grained representations of atomic structures
pip install TS2CG vermouth
We use Gromacs for equilibrating coarse-grained Martini models. The installation instructions are available here.
Instructions for Developers#
The latest development version of Mosaic can be installed from GitHub
pip install git+https://github.com/KosinskiLab/mosaic.git
If you want to modify the codebase
git clone https://github.com/KosinskiLab/mosaic.git
pip install -e mosaic
Getting Help#
Check the troubleshooting guide.
Open an issue on GitHub.