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  • Tutorial Overview
  • Tutorial 1: VFVS 2.0 on AWS
    • Introduction
    • Installation of VFVS
    • Setting up the ATG Prescreen
    • Starting the ATG Prescreen
    • Monitoring the ATG Prescreen
    • Postprocessing the ATG Prescreen
    • Preparing the ATG Primary Screen
    • Running the ATG Primary Screen
    • Postprocessing the ATG Primary Screen
  • Tutorial 2: VFVS 2.0 on Slurm
    • Introduction
    • Installation of VFVS
    • Setting up the ATG Prescreen
    • Starting the ATG Prescreen
    • Monitoring the ATG Prescreen
    • * Postprocessing the ATG Prescreen
    • Preparing the ATG Primary Screen
    • Running the ATG Primary Screen
    • * Postprocessing the ATG Primary Screen
    • The Completed Workflow (Update in Progress for the Python version)
      • Local installation and deployment of HPC-toolkit
      • Installing VirtualFlow2.0
      • Screening the sparse library with VirtualFlow 2.0
      • Extracting and viewing the results
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  1. Tutorial 1: VFVS 2.0 on AWS

Postprocessing the ATG Primary Screen

To create the ranking of the screened ligand by docking score, we can run the following command:

./vfvs_get_top_results.py --top 10000 --download --scenario-name ds1

This will download the ranking containing the best 10000 ligands, and store the ranking file in the ../output-files folder.

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Last updated 10 months ago