Monte Carlo Side Chain Entropy package for generating side chain packing for fixed protein backbone.
Updated supports for phosphorated residues and other listed modifications; other ptms in development.
Phosphoralytion(unprotonated, protonated)
- SER: SEP S1P
- THR: TPO T1P
- TYR: PTR Y1P
- HID: H2D H1D
- HIE: H2E H1E
Methylation
- LYS: M3L
N6-carboxylysine
- LYS: KCX
Hydroxylation
- PRO: HYP
v0.1.0
1.Lin, M. S., Fawzi, N. L. & Head-Gordon, T. Hydrophobic Potential of Mean Force as a Solvation Function for Protein Structure Prediction. Structure 15, 727–740 (2007).
2. Bhowmick, A. & Head-Gordon, T. A Monte Carlo Method for Generating Side Chain Structural Ensembles. Structure 23, 44–55 (2015).
Clone this repository:
git clone https://github.com/THGLab/MCSCE
Navigate to the new folder:
cd MCSCSE
Create a dedicated Conda environment with the needed dependencies:
conda env create -f requirements.yml
Install MCSCE package manually:
python setup.py develop --no-deps
To update to the latest version:
git pull
In your terminal window run for help:
mcsce -h
Contribute to this project following the instructions in docs/CONTRIBUTING.rst file.