ytpea-LigandScoringProtocol.txt

Name

Kdeep-maxalign

Software

Kdeep

Parameters

Kdeep was trained on PDBbind database.

Method

After docking the ligands with their most similar cocrystals using rDock tethered docking,
we inputed the resulting pose and the protein to Kdeep.
Kdeep is a convolutional neural network trained on PDBind database which predicts affinity values based
on the pose of the ligand and the protein.

Answer 1

No

ytpea-PosePredictionProtocol.txt

Name

Maximum similarity substructure alignment

Software

HTMD/RDKit/rDock

System Preparation Parameters

Tautomers and different conformers considered with RDKit
Proteins were prepared using proteinPrepare from HTMD

System Preparation Method

Different conformers and tautomers were considered using RDKit,
proteins were prepared using proteinPrepare from HTMD

Pose Prediction Parameters

proteinPrepare default parameters

Pose Prediction Method

For each problem ligand, the most similar cocrystallized ligand was used to perform an structural based
alignment using rDock tethered docking.

Answer 1

No

Answer 2

Yes