High-resolution global peptide-protein docking using fragments-based PIPER-FlexPepDock.
Nawsad AlamOriel GoldsteinBing XiaKathryn A PorterDima KozakovOra Schueler-FurmanPublished in: PLoS computational biology (2017)
Peptide-protein interactions contribute a significant fraction of the protein-protein interactome. Accurate modeling of these interactions is challenging due to the vast conformational space associated with interactions of highly flexible peptides with large receptor surfaces. To address this challenge we developed a fragment based high-resolution peptide-protein docking protocol. By streamlining the Rosetta fragment picker for accurate peptide fragment ensemble generation, the PIPER docking algorithm for exhaustive fragment-receptor rigid-body docking and Rosetta FlexPepDock for flexible full-atom refinement of PIPER docked models, we successfully addressed the challenge of accurate and efficient global peptide-protein docking at high-resolution with remarkable accuracy, as validated on a small but representative set of peptide-protein complex structures well resolved by X-ray crystallography. Our approach opens up the way to high-resolution modeling of many more peptide-protein interactions and to the detailed study of peptide-protein association in general. PIPER-FlexPepDock is freely available to the academic community as a server at http://piperfpd.furmanlab.cs.huji.ac.il.
Keyphrases
- protein protein
- high resolution
- small molecule
- molecular dynamics
- molecular dynamics simulations
- binding protein
- amino acid
- randomized controlled trial
- mass spectrometry
- machine learning
- healthcare
- mental health
- computed tomography
- escherichia coli
- staphylococcus aureus
- cystic fibrosis
- high speed
- neural network
- electron transfer