This API is currently available in C++ and Python.
class OETorQuatAdaptor : public OEMolAdaptor
The OETorQuatAdaptor class provides the ability to optimize a molecule in coordinate space by a combination of rotation, translation and torsion changes. This class combines the functionality of both OEQuatAdaptor and OETorAdaptor classes. Its main application is optimization of ligands in the potential generated by protein-receptor, in the case when ligand’s bond lengths and bond angles are chosen to be fixed.
OETorQuatAdaptor(OEMolFunc1 &, bool own=false, bool excludeInteract=true)
Default and copy constructors.
The molecule function used for function evaluation must be provided as the first argument to the constructor. The second argument specifies whether the OETorQuatAdaptor object takes ownership of the memory of the molecule function instance. By default the OETorQuatAdaptor instance does not take ownership of the molecule function, so the OETorQuatAdaptor destructor does not delete the molecule function instance. If ownership of the molecule function is transferred to the OETorQuatAdaptor instance, the molecule function’s delete operator will be called in the OETorQuatAdaptor destructor. The third argument controls the inclusion of invariant molecule function interactions. By default, interactions which remain constant during the torsion minimization are excluded from calculation (for example bond stretch interactions). If the third calling argument is false then all interactions will be computed during every function evaluation.
bool AdaptGrad(double *, const double *, const double *) const
Transforms a set of the input Cartesian gradients passed to the method as a second argument, into torsional-rotational-translational gradients which are copied to the first argument array. The third argument to the method is an array of the current quaternion and translational vector.
bool Set(const OESystem::OEUnaryPredicate<OEChem::OEAtomBase>&) bool Set(const OESystem::OEUnaryPredicate<OEChem::OEBondBase>&)
The first method assigns an atom predicate which is used to specify atoms which are to be held fixed in their starting positions during an optimization. The second method assigns a bond predicate which is used to determine which bonds of a molecule are to be rotated during an optimization. Both the Set methods must be called before the Setup for it to be effective.