An exhaustive all-to-all protein-protein interaction prediction algorithm based on 3-D shape complimentarity and its statistical distribution on protein surface.

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We have developed a novel computing method for rigid-body protein docking and applied it to Protein-Protein Interaction network prediction in systems biology. The original rPSC model uses only real numbers while ZDOCK's PSC uses complex numbers and then our method is four-times faster than ZDOCK without loss of sensitivity. We also proposed a method to dynamically change balance between shape complementarity and electrostatics. Total prediction accuracy is improved with clustering and reranking as post-processing.