@article {2016|1630,
	title = {Evaluation of the coarse-grained OPEP force field for protein-protein docking},
	journal = {Bmc Biophysics},
	volume = {9},
	year = {2016},
	month = {apr},
	abstract = {Background: Knowing the binding site of protein-protein complexes helps understand their function and shows possible regulation sites. The ultimate goal of protein-protein docking is the prediction of the three-dimensional structure of a protein-protein complex. Docking itself only produces plausible candidate structures, which must be ranked using scoring functions to identify the structures that are most likely to occur in nature. Methods: In this work, we rescore rigid body protein-protein predictions using the optimized potential for efficient structure prediction (OPEP), which is a coarse-grained force field. Using a force field based on continuous functions rather than a grid-based scoring function allows the introduction of protein flexibility during the docking procedure. First, we produce protein-protein predictions using ZDOCK, and after energy minimization via OPEP we rank them using an OPEP-based soft rescoring function. We also train the rescoring function for different complex classes and demonstrate its improved performance for an independent dataset. Results: The trained rescoring function produces a better ranking than ZDOCK for more than 50 \% of targets, rising to over 70 \% when considering only enzyme/inhibitor complexes. Conclusions: This study demonstrates for the first time that energy functions derived from the coarse-grained OPEP force field can be employed to rescore predictions for protein-protein complexes.},
	issn = {2046-1682},
	doi = {10.1186/s13628-016-0029-y},
	author = {Kynast, Philipp and Philippe Derreumaux and Strodel, Birgit}
}
