Docking is the process of determining the structure of a ligand bound in the active site of a target protein. In the Docking Toolkit this is done with the OEDock class that takes a multiconformer representation of a ligand and returns the top scoring pose (or poses if desired) within the active site. Docking is done using an exhaustive search algorithm, followed by optimization of the best poses from the exhaustive search (see Docking Algorithm section).
Listing 2: Example program for docking molecules#!/usr/bin/env python # (C) 2017 OpenEye Scientific Software Inc. All rights reserved. # # TERMS FOR USE OF SAMPLE CODE The software below ("Sample Code") is # provided to current licensees or subscribers of OpenEye products or # SaaS offerings (each a "Customer"). # Customer is hereby permitted to use, copy, and modify the Sample Code, # subject to these terms. OpenEye claims no rights to Customer's # modifications. Modification of Sample Code is at Customer's sole and # exclusive risk. Sample Code may require Customer to have a then # current license or subscription to the applicable OpenEye offering. # THE SAMPLE CODE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, # EXPRESS OR IMPLIED. OPENEYE DISCLAIMS ALL WARRANTIES, INCLUDING, BUT # NOT LIMITED TO, WARRANTIES OF MERCHANTABILITY, FITNESS FOR A # PARTICULAR PURPOSE AND NONINFRINGEMENT. In no event shall OpenEye be # liable for any damages or liability in connection with the Sample Code # or its use. from __future__ import print_function import sys from openeye import oechem from openeye import oedocking def main(argv=[__name__]): itf = oechem.OEInterface(InterfaceData) oedocking.OEDockMethodConfigure(itf, "-method") oedocking.OESearchResolutionConfigure(itf, "-resolution") if not oechem.OEParseCommandLine(itf, argv): return 1 imstr = oechem.oemolistream(itf.GetString("-in")) omstr = oechem.oemolostream(itf.GetString("-out")) receptor = oechem.OEGraphMol() if not oedocking.OEReadReceptorFile(receptor, itf.GetString("-receptor")): oechem.OEThrow.Fatal("Unable to read receptor") dockMethod = oedocking.OEDockMethodGetValue(itf, "-method") dockResolution = oedocking.OESearchResolutionGetValue(itf, "-resolution") dock = oedocking.OEDock(dockMethod, dockResolution) dock.Initialize(receptor) for mcmol in imstr.GetOEMols(): print("docking", mcmol.GetTitle()) dockedMol = oechem.OEGraphMol() dock.DockMultiConformerMolecule(dockedMol, mcmol) sdtag = oedocking.OEDockMethodGetName(dockMethod) oedocking.OESetSDScore(dockedMol, dock, sdtag) dock.AnnotatePose(dockedMol) oechem.OEWriteMolecule(omstr, dockedMol) return 0 InterfaceData = """ !PARAMETER -receptor !ALIAS -rec !TYPE string !REQUIRED true !LEGAL_VALUE *.oeb !LEGAL_VALUE *.oeb.gz !BRIEF A receptor file the molecules pass to the -in flag will be docked to !END !PARAMETER -in !TYPE string !REQUIRED true !BRIEF Multiconformer file of molecules to be docked. !END !PARAMETER -out !TYPE string !REQUIRED true !BRIEF Docked molecules will be written to this file !END """ if __name__ == "__main__": sys.exit(main(sys.argv))
dock = oedocking.OEDock(dockMethod, dockResolution)
dockMethod is an unsigned int constant from the OEDockMethod namespace, that specifies the combination of scoring functions (or method) OEDock uses for the exhaustive search and optimization. The available scoring methods are:
Method Exhaustive Search Scoring Optimization Scoring OEDockMethod_Shapegauss Shapegauss Shapegauss OEDockMethod_PLP PLP PLP OEDockMethod_Chemgauss3 Chemgauss3 Chemgauss3 OEDockMethod_Chemgauss4 Chemgauss3 Chemgauss4 OEDockMethod_Chemscore Chemgauss3 Chemscore OEDockMethod_Hybrid1 Chemical Gaussian Overlay Chemgauss3 OEDockMethod_Hybrid Chemical Gaussian Overlay Chemgauss4
dockResolution is an unsigned int constant from the OESearchResolution namespace, that specifies the docking resolution to use. The docking resolution is the rotational and translational stepsize used during the exhaustive search and optimization (the rotational stepsize is the furthest distance any heavy atom of the ligand will move in a single rotational step). The following resolutions are supported
Resolution Exhaustive Translational Exhaustive Rotational OESearchResolution_High 1.0 1.0 OESearchResolution_Standard 1.0 1.5 OESearchResolution_Low 1.5 2.0
Resolution Optimization Translational Optimization Rotational OESearchResolution_High 0.5 0.5 OESearchResolution_Standard 0.5 0.75 OESearchResolution_Low 0.75 1.0
All resolutions are in Angstroms.
Section Docking Algorithm for more information docking algorithm.
The hybrid (OEDockMethod_Hybrid2) docking method is distinguished from other docking methods because it uses information present in the structure of a bound ligand to enhance docking performance.
The bound ligand information is used during the exhaustive search stage of the docking process (see Docking Algorithm section) by using the Chemical Gaussian Overlay scoring function, which scores poses based on how well a docked pose overlays the shape of the bound ligand and mimics the same hydrogen bonding and interactions the bound ligand makes. After the exhaustive search, optimization is performed with Chemgauss4 which is a standard structure based scoring function.
The final score a ligand receives using the hybrid docking method is based only on its interactions with the protein. Ligand information is used only to guide the selection of poses during the exhaustive search.
In order to use the hybrid docking method the receptor object must have a bound ligand (see Bound Ligand section).
An OEDock object must be initialized with a receptor object, prior to docking, scoring or annotating any molecules. This is done by passing a receptor to the OEDock.Initialize method, as shown in the following code snippet from Listing 2.
mcmol is a multiconformer representation of the molecule being docked, and pose is an OEMolBase the resulting top scoring docked pose is returned in. The score of the docked molecule can be obtained by calling the OEMolBase.GetEnergy method of pose.
OEDock can also return alternate as well as top scoring poses of the docked molecule.
numPoses = 10 poses = oechem.OEMol() dock.DockMultiConformerMolecule(poses, mcmol, numPoses)
In this example the 10 best scoring poses are returned as conformers of poses. The score of each pose can be obtained by calling the OEMolBase.GetEnergy method of each pose.
OEDock can also recalculate a score of a pose (using the optimization scoring function), and calculate the contribution for each individual component of the score as in the following example.
def PrintScore(dock, pose): print("Total pose score = %f" % dock.ScoreLigand(pose)) print("Score components contributions to score:") for comp in dock.GetComponentNames(): print("%12s: %6.2f" % (comp, dock.ScoreLigandComponent(pose, comp)))
Scores can also be calculated on a per-atom basis, and broken down into contributions from individual components of the scoring function.
def PrintAtomScore(dock, pose, atom): print("") print(" Atom: %d score: %f" % (atom.GetIdx(), dock.ScoreAtom(atom, pose))) print("Score components contributions to atoms score: ") for comp in dock.GetComponentNames(): print("%12s: %.2f" % (comp, dock.ScoreAtomComponent(atom, pose, comp)))
oedocking.OESetSDScore(dockedMol, dock, sdtag)
These annotations break down the score of each pose to contributions from each component of the scoring function and each atom of the scoring function. When viewed in VIDA these values are displayed visually in the 3D window.
OEDock docks multiconformer molecules using an exhaustive search that systematically searches rotations and translations of each conformer of the ligand within the active site. Following the exhaustive search the top scoring poses are optimized and assigned a final score. These two steps are described in more detail below
- Enumerates, to given resolution, every possible rotation and translation of each conformer of the ligand being docked within a box enclosing the active site. The resolution of the exhaustive search is determined by the overall resolution setting of OEDock (see Scoring Functions and Search Resolution section).
- Discard out poses that either clash with the protein or extend to far from the binding site using the receptor’s negative image outer contour (see Negative Image section).
- If the negative image inner contour is enabled discard any poses that do not have at least one heavy atom that falls within the inner contour. (see Negative Image section).
- Discard any poses that do no match any user specified constraints. (see Constraints section).
- Score all remaining poses. The scoring function used here depends on what scoring method is being used (see Scoring Functions and Search Resolution section).
- Sort poses by score and pass the top scoring poses to optimization. The number of posses passed to optimization depends on the search resolution (see OESearchResolution constant namespace).
- Each pose moved to 729 nearby positions, scored and the top scoring position become the new optimized pose. The positions are generated by having the initial pose take one positive and one negative step for each translational and rotational degree of freedom. The resolution of these steps is half that of the exhaustive search, and is determined by the overall resolution setting of OEDock (see Scoring Functions and Search Resolution section).
- The best scoring pose of the 729 tests poses is selected as the final docked structure (and score) for the ligand.