1470-1-eq656-PosePredictionProtocol.txt

Name

Multiple initial conformations re-scored by Convex-PL with a regression model (solvent modeled with SASA and nContacts).

Software

AutoDock Vina with in-house modifications (Convex-PL as a scoring function), RDKit 2018, SciPy, PyMOL 1.8.4, unreleased version of Convex-PL scoring function

System Preparation Parameters

1000 conformations for each molecule in RDKit with rings clustered at 0.15A

System Preparation Method

Ligand conformations were generated in RDKit with similarity-based distance constraints, cycles of BACE 1 - 19 were clusterized with hierarchical clustering. All clusters were selected for docking.

Pose Prediction Parameters

Vina exhaustiveness 10, Convex PL as a scoring function, number of poses 350-450, Convex-PL rescoring with typization system 14, 0.5A clusterization, Convex-PL distance cutoff at 5.2A.

Pose Prediction Method

We ran docking experiments with all available conformations of each ligand except BACE_20, and did the rescoring with regression-based version of Convex-PL.

Answer 1

No

Answer 2

Yes