ramachandran plotter for molecular dynamics
Project description
Dymachandran Documentation
Dymachandran is a Python tool that uses MDAnalysis functions to create a dynamic and interactive Ramachandran plot for analyzing and validating protein structures from molecular dynamics simulations.
Installation
pip install dymachandran
Requirements
-Python 3.9 or higher
-numpy
-pandas
-plotly.express
-argparse
-PIL
-MDAnalysis
-multiprocessing
-progressbar2
-requests
Usage
Dymachandran takes topology and trajectory files from a molecular dynamics simulation as input and generates an HTML file as output.
usage:
dymachandran.py [-h] "topology_file.gro" "trajectory_file.xtc" "num_processes" "output_file.html"
positional arguments:
topology : path to the topology file
trajectory : path to the trajectory file
num_processes : number of processes
output_file : name of output file
optional arguments: -h, --help :show this help message and exit
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dymachandran-0.0.2.tar.gz.
File metadata
- Download URL: dymachandran-0.0.2.tar.gz
- Upload date:
- Size: 17.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
beb16f0281c2c60c55bf8e56539aef041f90f9825ef12e6b83bbc17353880ac2
|
|
| MD5 |
434e442308da2b661331e3d81982a4ae
|
|
| BLAKE2b-256 |
8ca38ba99039e985e4ef1bab53238af80706632a1abbaad9e7bea80e2b0e8ee5
|
File details
Details for the file dymachandran-0.0.2-py3-none-any.whl.
File metadata
- Download URL: dymachandran-0.0.2-py3-none-any.whl
- Upload date:
- Size: 5.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6295ef7aa2d12b68fbe422dc6aa954507df7e6b12dd4b5389f73eed54ac1e0e6
|
|
| MD5 |
877f4e2aed268065f17a5beec8b02c5f
|
|
| BLAKE2b-256 |
d8ad06253692c0ef0f1fe88ff10f0ef1740c53165910c48573e2b4e70d227fae
|