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A tool for membrane protein preparation and molecular dynamics analysis

Project description

GateWizard (API)

GateWizard

PyPI version Documentation DOI License: MIT GitHub stars

Python library for membrane protein preparation, system building, equilibration setup, and MD trajectory analysis.

This repository is the API only. It does not include a graphical interface.

If you want a desktop app, use gatewizard-gui, a separate project that calls this library. You can use the API without the GUI, and the GUI without cloning this repo (it installs the API via pip).

📖 Documentation


Features

  • Preparation — clean structures, pKa (PROPKA), protonation, and termini capping
  • Membrane builder — orient protein, pack lipids and solvent, Amber parametrization (tleap)
  • Equilibration — CHARMM-GUI-style protocols for NAMD, GROMACS, and OpenMM (NVT, NPT, NPAT, NPγT)
  • Analysis — trajectory metrics, structural analysis, and plotting helpers
  • Force fields — Amber protein models (e.g. ff14SB, ff19SB) and common water/lipid setups

Install

conda create -n gatewizard -c conda-forge python sqlite ambertools=24 parmed=4.3.0 openmm cudatoolkit -y
conda activate gatewizard
pip install "gatewizard[full]"
pip install -r requirements-orientation.txt

MemPrO is installed from the MemPrO GitHub release (v0.1.0).

For optional extras without OpenMM (NAMD/GROMACS only):

pip install gatewizard

From source (includes openmm + cudatoolkit via conda):

git clone https://github.com/maurobedoya/gatewizard.git
cd gatewizard
conda env create -f environment.yml
conda activate gatewizard
pip install -e .

Check the version:

python -c "import gatewizard; print(gatewizard.__version__)"

Dependencies

GateWizard is split across two repositories (API + GUI). Below is the full dependency stack; subsections mark what this repo installs automatically.

Python — core (pip install gatewizard) · this repo

Installed automatically:

Package Role
Python ≥ 3.8 Runtime
NumPy Numerical arrays
Matplotlib Plots and analysis figures
MDAnalysis Trajectories and topologies
lipyphilic Membrane / lipid analysis
PROPKA pKa and protonation
RDKit Ligand 2D structures
Pillow Image I/O
psique Structure / sequence tools
requests HTTP helpers

Python — optional [full] · this repo

Package Role
ParmEd Topology conversion (GROMACS, etc.)
OpenMM Equilibration / MD (Python; use with conda cudatoolkit for GPU)
MemPrO Membrane orientation (GitHub)

Install: pip install "gatewizard[full]" then pip install -r requirements-orientation.txt for MemPrO.

Python — GUI backend · gatewizard-gui

Package Role
FastAPI Local HTTP API for the desktop app
Uvicorn ASGI server
gatewizard[full] This API (installed into the embedded runtime)

Conda (building + OpenMM GPU) · this repo via environment.yml; GUI embeds on Linux/WSL/macOS

Package Role
AmberTools 24 tleap, antechamber, packmol, pdb4amber, …
ParmEd 4.3.0 From conda-forge (AmberTools-compatible)
OpenMM ≥ 8.0 MD engine (Python)
cudatoolkit OpenMM CUDA platform (Linux/WSL + NVIDIA driver)

Desktop app · gatewizard-gui

Package Role
Electron Desktop shell
Node.js 20+ App and build runtime
Svelte 5 UI framework
Vite Frontend bundler
Tailwind CSS Styling
Three.js + Threlte 3D structure viewer
electron-updater In-app update checks

External MD engines (install separately · neither repo)

Tool Role
NAMD Run NAMD equilibration — namd3 / namd2 on PATH
GROMACS Run GROMACS equilibration — gmx on PATH

OpenMM needs no separate binary — use openmm + cudatoolkit (conda) with gatewizard[full]. Auto-selects CUDA → OpenCL → CPU; override with PLATFORM=CUDA bash run_equilibration.sh.

python -c "import openmm; print([openmm.Platform.getPlatform(i).getName() for i in range(openmm.Platform.getNumPlatforms())])"

Provided by this repository

Component Included
gatewizard Python package (core + [full] extras) yes
environment.yml (AmberTools, OpenMM, cudatoolkit, …) yes
Desktop app (Electron, Svelte, viewer) no — gatewizard-gui
FastAPI backend no — GUI repo
NAMD / GROMACS binaries no — user install

Desktop GUI

gatewizard-gui — Electron app for the same workflow with a visual interface. It manages its own Python runtime and can update the API from the app.

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