Journal
BMC BIOPHYSICS
Volume 9, Issue -, Pages -Publisher
BIOMED CENTRAL LTD
DOI: 10.1186/s13628-016-0029-y
Keywords
Protein-protein docking; Coarse graining; Rescoring; Flexible docking
Categories
Funding
- International NRW Research School BioStruct
- Ministry of Innovation, Science and Research of the State North Rhine-Westphalia
- Heinrich Heine University of Dusseldorf
- Entrepreneur Foundation at the Heinrich Heine University of Dusseldorf
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available