Skip to content

This repository contains the files and scripts used for protein design screening as described in Barros, E. P. et al, JCTC 2019

Notifications You must be signed in to change notification settings

epbarros/Protein_Design_Screening

Repository files navigation

Protein Design Screening using Molecular Dynamics and Machine Learning

This repository contains the python workflows for simulation preparation, analysis and classification of ligand-biding protein design as reported in Barros, E. P et al, J. Chem. Theory Comput. 2019, 15, 5703-5715. MD input scripts are also provided.

This repository includes:

  • Jupyter notebooks for simulation preparation (Simulation_preparation_workflow.ipynb) and analysis (Design_screening_workflow.ipynb).
  • Example of protein preparation files.
  • Amber molecular dynamics input scripts.
  • Example of input files necessary for analysis.

These workflows have been developed for automated and high-throughput preparation of a large number of designed proteins. The name of the designs that are to be prepared through this workflow should be organized in a text file named design_list.txt (an example is provided). This list is taken as input by the scripts for iterative and automated simulation preparation and analysis, so there is need of minimal input from the user.

About

This repository contains the files and scripts used for protein design screening as described in Barros, E. P. et al, JCTC 2019

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published