Background: The importance of peptides in regulatory interactions has caused peptide-protein docking to attract the attention of many researchers. A variety of methods for molecular modeling of peptide-protein docking, such as local search and global search, are currently used.
Results: The interactions of 11 peptides and CSFV E2 protein were evaluated by the GalaxyPepDock and FlexX/ SYBYL programs, respectively. The assessment scores of all the peptides were correlated with their KD values. The final results showed that a moderate correlation coefficient was represented between KD values and CScores of predicted models by FlexX/ SYBYL.
Conclusion: Our results demonstrate that considering the flexibility of the peptide is better than searching for more potential binding sites on the target protein surface while performing peptide-protein molecular docking. These data provide reasonable evidence for the molecular design of peptides and guidance for the functional assignment of target proteins. © 2018 Society of Chemical Industry.
Keywords: CScore; KD value; estimated accuracy; peptide-protein docking.
© 2018 Society of Chemical Industry.