Abstract

Interaction profile method is a useful method for processing rigid-body docking. After the docking process, the resulting set of docking poses could be classified by calculating similarities among them using these interaction profiles to search for near-native poses. However, there are some cases where the near-native poses are not included in this set of docking poses even when the bound-state structures are used. Therefore, we have developed a method for generating near-native docking poses by introducing a re-docking process. We devised a method for calculating the profile of interaction fingerprints by assembling protein complexes after determining certain core-protein complexes. For our analysis, we used 44 bound-state protein complexes selected from the ZDOCK benchmark dataset ver. 2.0, including some protein pairs none of which generated near-native poses in the docking process. Consequently, after the re-docking process we obtained profiles of interaction fingerprints, some of which yielded near-native poses. The re-docking process involved searching for possible docking poses in a restricted area using the profile of interaction fingerprints. If the profile includes interactions identical to those in the native complex, we obtained near-native docking poses. Accordingly, near-native poses were obtained for all bound-state protein complexes examined here. Application of interaction fingerprints to the re-docking process yielded structures with more native interactions, even when a docking pose, obtained following the initial docking process, contained only a small number of native amino acid interactions. Thus, utilization of the profile of interaction fingerprints in the re-docking process yielded more near-native poses.

Highlights

  • Prediction of protein-protein docking is one of the most important approaches for understanding the protein-protein interaction networks of living cells

  • A near-native decoy is defined as a decoy with interactions similar to the native ones, evaluated using the Tanimoto Coefficient (TCIFPnative) values of more than 0.4, as detailed in the Material and Methods section

  • We found 1187 near-native decoys with L_RMSD value,10.0 Å; this number was comparable to the number of near-native decoys (i.e., 1270) with TCIFPnative value $

Read more

Summary

Introduction

Prediction of protein-protein docking is one of the most important approaches for understanding the protein-protein interaction networks of living cells. The rigid-body docking method is most useful for the large-scale prediction of protein-protein interaction networks. The rigid-body docking process, which is the first step in searching the structure of a native complex, generates many candidate protein complexes, referred to as decoys [2,3]. A set of these decoys generally includes many structures that are, by far, different from the native structure. These decoy sets were further searched to identify the near-native decoys of the protein complex

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call