ramplot 1.0.3

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Description:

ramplot 1.0.3

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
.

License:

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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