pr2fp-LigandScoringProtocol.txt

Name

ITScore_v2

Software

ITScore_v2

Parameters

grid = no

Method

A knowledge-based scoring function, ITScore_v2_TF, was used to evaluate these
binding models. The scoring function was originally developed with a statistical
mechanics-based iterative method using the refined set of PDBbind 2012.

pr2fp-PosePredictionProtocol.txt

Name

A ensemble docking method, XDZ_4

Software

MGLTools/AutoDock Vina 1.0/ITScore_v2

System Preparation Parameters

maxconfs=500 #OMEGA
Gasteiger charges #Vina

System Preparation Method

All the released crystal structures of human FXR
protein-small molecule complexes were collected from the Protein Data Bank.
The co-crystal structures for FXR_1-FXR_36 provided by D3R were also included.
If there exist more than one PDB entries containing identical small molecules
binding to the same pocket, the structure with a higher resolution was kept,
resulting in a total of 62 resulting crystal structures.
Preparation for docking with Vina was done using MGLTools,
in which the ligand PDB files generated with OMEGA were converted to the PDBQT
format by assigning partial charges and atom types.

Pose Prediction Parameters

Exhaustiveness=30 #exhaustiveness of global search (default=8)
Vina scoring function (empirical + knowledge-based function)
Num_modes=500 #max number of poses to generate
Re-scoring function, ITscore_v2 #ITScore version 2.0

Pose Prediction Method

For a query compound, ensemble docking was performed using all the 62 FXR protein
structures collected from the PDB or provided by D3R. A modified version of AutoDock Vina was used for the sampling,
outputting up to 500 binding models for further evaluation. A knowledge-based scoring function,
ITScore_v2, was used to evaluate these binding models. The scoring function was developed with a statistical
mechanics-based iterative method using the refined set of PDBbind 2012.