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Monte Carlo Side Chain Entropy package for generating side chain packing for fixed protein backbone

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MCSCE - Sidechain packing library

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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

References

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).

How to Install

  1. Clone this repository:

    git clone https://github.com/THGLab/MCSCE
    
  2. Navigate to the new folder:

    cd MCSCSE
    
  3. Create a dedicated Conda environment with the needed dependencies:

    conda env create -f requirements.yml
    
  4. Install MCSCE package manually:

    python setup.py develop --no-deps
    
  5. To update to the latest version:

    git pull
    

How to Use

In your terminal window run for help:

mcsce -h

How to Contribute

Contribute to this project following the instructions in docs/CONTRIBUTING.rst file.

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Monte Carlo Side Chain Entropy package for generating side chain packing for fixed protein backbone

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