Protocols for All-Atom Reconstruction and High-Resolution Refinement of Protein-Peptide Complex Structures

Area of Science:

• Computational structural biology
• Biophysics
• Molecular modeling

Background:

• Accurate structural characterization of protein-peptide complexes is crucial for understanding biological functions.
• Existing methods for modeling these complexes, particularly those starting from C-alpha traces, often require refinement for higher accuracy.
• The CABS-dock tool generates protein-peptide models in a simplified C-alpha representation, necessitating further development for detailed structural analysis.

Purpose of the Study:

• To develop and validate a computational workflow for generating accurate, all-atom structural models of peptide-protein complexes.
• To improve upon initial C-alpha trace models generated by CABS-dock molecular docking.
• To enable reliable reconstruction and optimization of protein-peptide complex structures.

Main Methods:

• Utilized CABS-dock for initial protein-peptide molecular docking, generating C-alpha trace models.
• Employed MODELLER software to reconstruct all-atom representations from the C-alpha traces.
• Refined the all-atom models using Rosetta FlexPepDock for structure optimization and increased accuracy.

Main Results:

• Successfully established a reliable workflow for converting CABS-dock's C-alpha models to all-atom representations.
• Demonstrated the capability of the workflow to refine these models to high-resolution structures.
• The combined approach yields improved accuracy in structural models of peptide-protein complexes.

Conclusions:

• The described computational workflow effectively reconstructs and refines protein-peptide complex models.
• This method enhances the accuracy of structural characterization, providing higher-resolution models.
• The workflow offers a reliable approach for generating detailed structural insights into peptide-protein interactions.