A Python package to calculate, visualize and analyze correlation maps of proteins.
correlationplus contains four main scripts that you can use to calculate, visualize
and analyze correlation maps of proteins.
These correlations can be dynamical cross-correlations, linear mutual
information, sequence based covariation/coevolution or any other pairwise coupling metric.
You can use elastic network models or your molecular dynamics trajectories for calculation
of dynamical correlations.
The easiest way to test correlationplus is to use it via Google Colab.
Click correlationplus.ipynb to use correlationplus without installing it on your computer.
We recommend one of the installation methods for regular users:
with pip
The pip version required by some dependencies is >= 21.0.1, which is not the pip version bundle with python 3.(6,7,8)
So, you have to update pip before installing correlationplus. Otherwise, you will have trouble during MDAnalysis dependency installation.
For this reason, we strongly encourage you to install correlationplus in a virtualenv.
Go to our readthedocs for
detailed usage examples for each script.
Cite
If you use correlationplus, please cite us:
Extracting Dynamical Correlations and Identifying Key Residues for Allosteric Communication in Proteins by correlationplus
Mustafa Tekpinar, Bertrand Neron, and Marc Delarue
Journal of Chemical Information and Modeling Article
DOI: 10.1021/acs.jcim.1c00742
Licensing
correlationplus is developed and released under GNU Lesser GPL Licence.
Please read to the COPYING and COPYING.LESSER files to know more.
correlationplus
A Python package to calculate, visualize and analyze correlation maps of proteins.
correlationplus contains four main scripts that you can use to calculate, visualize and analyze correlation maps of proteins. These correlations can be dynamical cross-correlations, linear mutual information, sequence based covariation/coevolution or any other pairwise coupling metric. You can use elastic network models or your molecular dynamics trajectories for calculation of dynamical correlations.
The easiest way to test correlationplus is to use it via Google Colab. Click correlationplus.ipynb to use correlationplus without installing it on your computer.
Video Tutorials
Installation
We recommend one of the installation methods for regular users:
with pip
The pip version required by some dependencies is >= 21.0.1, which is not the pip version bundle with python 3.(6,7,8) So, you have to update pip before installing correlationplus. Otherwise, you will have trouble during MDAnalysis dependency installation. For this reason, we strongly encourage you to install correlationplus in a virtualenv.
if you want to install it without using a virtualenv and encounter an error related to llvmlite, you can solve it as follows:
or if you do not have administration rights
with conda
Most of the time, at least one these methods will be sufficient for the installation. However, if these two methods didn’t work for any reason, you can take a look to ‘Advanced Installation’ instructions at https://correlationplus.readthedocs.io/en/latest/installation.html#advanced-installation.
Quickstart
There are four main scrips:
You can find details of each script with the following commands:
Go to our readthedocs for detailed usage examples for each script.
Cite
If you use correlationplus, please cite us:
Extracting Dynamical Correlations and Identifying Key Residues for Allosteric Communication in Proteins by correlationplus Mustafa Tekpinar, Bertrand Neron, and Marc Delarue Journal of Chemical Information and Modeling Article DOI: 10.1021/acs.jcim.1c00742
Licensing
correlationplus is developed and released under GNU Lesser GPL Licence. Please read to the COPYING and COPYING.LESSER files to know more.