Skip to main content

A brief description of your package.

Project description

Ramplot

Overview

Ramplot is a tool designed for generating and visualizing Ramachandran plots, which are essential for analyzing the phi (ϕ) and psi (ψ) torsion angles of the amino acid residues in protein structures. This tool helps in identifying allowed and disallowed regions of conformational space and is widely used in structural biology and bioinformatics.

Features

  • Ramachandran Plots: Generate high-quality, 3D & 2D Ramachandran plots for protein structure analysis.
  • Multiple Input Formats: Supports various input such as PDB, Trajectory File, and Custom Torsion ANgle.
  • Export Options: Export plots in various formats like PNG, SVG, and PDF for publication or further analysis.
  • Integration with Pip/Conda: Easy installation via pip and conda package managers.

Installation

You can install Ramplot using pip or conda.

Using pip

pip install ramplot

conda install ramplot 

Example Commands
ramplot pdb -i "PDB/" -m 0 -r 600 -p png -o OutPut
ramplot trajectory -t mdsim.tpr -x mdsim.xtc -c A101,A105 -f 10 -m 0 -r 600 -p png -o OutPut
ramplot TorsionAngle -i 'CustomTorsionAngles.csv' -m 0 -r 600 -p png -o OutPut



Ramplot README file
=====================

The Ramplot Project is  freely available Python tools for Ramachandran Plot.





The Ramplot package is open source software made available under generous
terms. 



Mayank Kumar & R.S. Rathore, RamPlot: an utility to draw 2D, 3D and assorted Ramachandran steric maps.


For the impatient
=================




Python Requirements
===================

We currently recommend using Python 3.11 from http://www.python.org

Biopython is currently supported and tested on the following Python
implementations:

- Python 3.9, 3.10, 3.11 and 3.12 -- see http://www.python.org

- PyPy3.9 v7.3.13 -- or later, see http://www.pypy.org


Dependencies
=====================

Ramplot requires 
 numpy,pandas,biopython,matplotlib,mdanalysis,pytest-shutil
.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ramplot-1.0.2.tar.gz (18.5 kB view details)

Uploaded Source

Built Distribution

ramplot-1.0.2-py3-none-any.whl (1.8 MB view details)

Uploaded Python 3

File details

Details for the file ramplot-1.0.2.tar.gz.

File metadata

  • Download URL: ramplot-1.0.2.tar.gz
  • Upload date:
  • Size: 18.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.3

File hashes

Hashes for ramplot-1.0.2.tar.gz
Algorithm Hash digest
SHA256 07cf59ff7459e5dcd6a429fb91c7a883d79a02e98a992ff5c27f1f3786483e0d
MD5 b490ff36bd7d3eb53199e399ce58ab75
BLAKE2b-256 a85e8c4fcc5b3c71a17857ec952ca7800183fa0b2f6ce956985d7d8f2ac9489d

See more details on using hashes here.

File details

Details for the file ramplot-1.0.2-py3-none-any.whl.

File metadata

  • Download URL: ramplot-1.0.2-py3-none-any.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.3

File hashes

Hashes for ramplot-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 d008c849d8a501603075f5e5dfe33ce52b7c3483013fbcfb8b577e6f3bf97fd4
MD5 41795edccebca5e973e79577cf4cae0e
BLAKE2b-256 f7c5ae2278fb03adcb6f99238bc130497edefdbfa17b96d4e5f9e7058edb1aa9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page