Metadata-Version: 2.2
Name: MartiniGlass
Version: 1.1.0
Author-email: Christopher Brasnett <c.s.brasnett@rug.nl>
License: Apache 2.0
Project-URL: Documentation, https://martiniglass.readthedocs.io/en/latest/
Project-URL: Repository, https://github.com/Martini-Force-Field-Initiative/MartiniGlass
Project-URL: Homepage, https://github.com/Martini-Force-Field-Initiative/MartiniGlass
Keywords: molecular dynamics,martini
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pbr
Requires-Dist: vermouth>=0.9.6

# MartiniGlass: seeing your martini is believing

MartiniGlass uses [vermouth](https://github.com/marrink-lab/vermouth-martinize) to stably rewrite your input topology files as ones that can be used for 
visualisation in VMD. Although much of the functionality is focused on proteins, and the program has a particular 
focus on being able to visualise protein secondary/tertiary structure networks, MartiniGlass can in fact 
be used to reconstruct bonded networks of **any** Martini molecule!

Previously, `cg_bonds-vX.tcl` was able to read in Martini system topology information and draw it directly in VMD.
However, many Martini models now make extensive use of interaction types like virtual sites, which can't be handled
by the topology reading capabilities of this script directly. Martini_vis handles these and more by rewriting 
virtual sites as bonded atoms for visualisation purposes.

Thanks to [Jan Stevens](https://github.com/jan-stevens) for `vis.vmd`

If the solution here isn't working for you, please open an issue!

## Documentation

Documentation for MartiniGlass is available on the [readthedocs](https://martiniglass.readthedocs.io/en/latest) site.
The documentation covers multiple use cases and runs through the tutorials in the [examples](examples) folder
step by step.

## Installation

```commandline
python3 -m venv venv && source venv/bin/activate # Not required, but often convenient.
pip install git+https://github.com/Martini-Force-Field-Initiative/MartiniGlass
```

## Usage

Most likely, you can use MartiniGlass with a simple command:

```
martiniglass -p topol.top
```

But if you have proteins with complex tertiary structure networks that you also want to see, you might need to give 
some extra options. More comprehensive documentation and tutorials are available on the
[readthedocs](https://martiniglass.readthedocs.io/en/latest) site. If you think something is broken or have a
feature request, please open an [issue](https://github.com/Martini-Force-Field-Initiative/MartiniGlass/issues).


## Gallery 

For a practical example of how MartiniGlass can be used to generate visualisable topologies, and see the expected 
output, there is an example of the 1UBQ system shown below in the [examples](examples) folder. Here are some 
illustrations of how MartiniGlass can be used to visualise your molecules

![Martinizing a protein (Ubiquitin, PBD: 1UBQ) and visualising its elastic network.
left to right: atomistic representation of the protein. 
Martini representation of the protein overlaid on the atomistic one, showing the direct backbone and side chain.
Martini representation of the protein overlaid on the atomistic one, showing all bonds, with the elastic network in 
black. Martini representation of the protein, 
showing all bonds.](https://github.com/user-attachments/assets/09fe7a4f-bdd7-4302-a819-88e1c1040e0a)
**Martinizing a protein (Ubiquitin, PBD: 1UBQ) and visualising its elastic network.**
Left to right: atomistic representation of the protein. 
Martini representation of the protein overlaid on the atomistic one, showing the direct backbone and side chain.
Martini representation of the protein overlaid on the atomistic one, showing all bonds, with the elastic network in 
black. Martini representation of the protein, showing all bonds.

![img](https://github.com/user-attachments/assets/dec7dbb5-9c88-4742-9104-299df8a901ba)

**Non-protein systems.** Left: the molecular motor of [Vainikka and Marrink](https://doi.org/10.1021/acs.jctc.2c00796),
a synthetic molecule with complex topology, showing how the beads are connected using the CPK mode in VMD. Right: 
Several molecular motors together with a lipid bilayer of several different lipid types. 

