A common approach to molecular docking is to develop a simple (generally additive) model of intermolecular interactions and train it to reproduce experimental values of binding energy for a range of known inhibitors. The obvious advantage is the calculations speed.
Any more sophisticated approach takes requires more computational resources and may hardly lead to an immense improvement in calculations accuracy. The question thus is: do non-additive force fields have any advantages in docking situtations?
To investigate the issue the following experiment was performed:
- A simple force Molecular Mechanics (MM) force field, containing a reasonable approximation for (distant-dependent media polarization) electrostatics, van-der-waals and hydrogen bonding, was developed.
- Same van-der-waals and hydrogen bonds were paired with vacuum electrostatics and a (non-additive) water model to simulate solvation effects.
Although the two models show roughly the same level of accuracy in predicting the binding energies, the selectivity is drustically different. The figure above shows the results of the energy calculations for a set of few hundreds decoys. Both graphs represent the relative binding energy (counted from the minimum position) vs. the r.m.s. deviation of the calculated ligand positions from the known native position. The lines are the energy offset values averaged over the conformers (decoys) with similar r.m.s. positions.
The conclusion?
The solvation energy is the major source of non-additivity in ligand binding. Though being one of the most complicated quantities to be acounted properly in a docking run, the solvation energy is one of the major mechanisms of molecular recognition