e2nsc-FreeEnergyProtocol.txt

Name

Prime MMGBSA ranking for 102 set

Software

Schrodinger's Prime 2016-3

Parameters

default (optimizing around 16A from ligand)

Method

1. Protein PDB files were first prepared by using Glide Docking approach and Openeye POSIT. The structure was futher modified manually by tweaking the ligand's conformations.
2. Protein-ligand minimizations were perfrmed with Schrodinger Prime MMGBSA module (default parameters) optimizing only 16A away from ligand.
3. MMGBSA score was obtained for all FEP set ligands.

e2nsc-PosePredictionProtocol.txt

Name

Glide

Software

Schrodinger software used: glide version 72015 (mmshare version 35015) used for grid building and ligand docking, prepwizard utility for protein preparation, ligprep for ligand preparation,python version: 54015 for ligprep, prepwizard utilities

System Preparation Parameters

Assumed pH 7.4

System Preparation Method

Starting structure: Ligands were prepared using Schrodinger's standard ligand preparation at pH 7.4. The stereochemistries were given in the isosmiles strings and were therefore kept. Proteins were prepared using Schrödinger.s protein preparation wizard. Bond orders were assigned, hydrogen atoms added, disulfide bonds were generated, and water orientations were sampled. The charge states were kept at pH 7.0. Missing loops and side chains were constructed. The given residue confirmations were kept, with no alternative residue conformations examined.

Pose Prediction Parameters

no waters considered

Pose Prediction Method

Automated Ensemble Docking approach using all structures available in the PDB.
All PDB chains overlayed into reference apo structure.
Proteins and ligands prepared with Schrodinger software.
Preparation of docking grids
- use protein chains overlayed and prepared as above
- define cubical grid box that contains all ligands in x-ray structure
- calculate all grids using same box and mostly default parameters
- no waters considered
Ensemble docking workflow:
- dock each ligand against all grids using glide XP, keep max. 5 poses per ligand
- automated pose selection (using custom python script)
for each ligand merge poses from all grids and rank by XP glide docking score
pick pose with best XP glide docking score as best pose
select 4 additional pose by going down the ranked poses and picking new poses that are different enough from existing ones (using an RMSD cutoff of 1.0 A)
Ensemble docking protocol was tested first with set of PDB ligands. Good results for most ligands (both self- and cross-docking) although in some cases the docking score could not rank accurately the first pose.