Introduction
This is the first tutorial for AdaptiveFlow for Virtual Screening 2.0 (AFVS 2.0).
Aims
AFVS is one of the modules of AdaptiveFlow, dedicated to carrying out the virtual screening procedures.
This tutorial will demonstrate the following:
This tutorial covers the basic functionality of AFVS. Further information regarding specific aspects of AFVS can be found in the documentation.
The Target
The target structure in this tutorial is human glucokinase (GK), and the purpose of the screening is to find activating compounds (see Petit et al. for background information). The structure used has the following protein data bank identification (PDB ID): 4NO7 (https://www.rcsb.org/structure/4NO7).

Docking Scenarios
The files in this tutorial come with two pre-configured docking scenarios:
QuickVina 2 with exhaustiveness set to 1
Smina Vinardo with exhaustiveness set to 1
All other docking parameters are the same for both docking programs.
The pre-configured docking box is shown below:



Details on how to prepare the docking input files for Autodock Vina-based programs can for example be found at http://vina.scripps.edu.
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