HawkDock

HawkDock predicts and analyzes protein-protein interaction three-dimensional structures to identify binding conformations and key interface residues.


Key Features:

  • ATTRACT docking algorithm: Performs initial prediction of protein-protein complex structures using the ATTRACT docking algorithm.
  • HawkRank scoring function: Re-scores and refines docking models using the HawkRank scoring function developed by the HawkDock group.
  • MM/GBSA free energy decomposition analysis: Applies MM/GBSA free energy decomposition to quantify per-residue contributions and highlight key interface residues.
  • 3Dmol.js molecular visualization: Provides molecular visualization of predicted PPI structures via 3Dmol.js.
  • Performance benchmarking: Reported identification rates compared to ZDOCK 3.0.2 are approximately 81.4% for predicted models and 95.4% for crystal structures.

Scientific Applications:

  • Structural biology: Models protein-protein complexes and identifies interface residues to support mechanistic studies of molecular interactions.
  • Drug discovery: Informs design of inhibitors or modulators targeting specific protein-protein interfaces by locating binding conformations and key residues.

Methodology:

Initial docking is performed with ATTRACT and re-scored with HawkRank, followed by MM/GBSA free energy decomposition analysis to identify key interface residues.

Topics

Details

License:
Unlicense
Maturity:
Mature
Cost:
Free of charge
Tool Type:
api, web application
Operating Systems:
Linux, Windows, Mac
Added:
8/9/2019
Last Updated:
6/16/2020

Operations

Publications

Weng G, Wang E, Wang Z, Liu H, Zhu F, Li D, Hou T. HawkDock: a web server to predict and analyze the protein–protein complex based on computational docking and MM/GBSA. Nucleic Acids Research. 2019;47(W1):W322-W330. doi:10.1093/nar/gkz397. PMID:31106357. PMCID:PMC6602443.

PMID: 31106357
PMCID: PMC6602443
Funding: - National Key R&D Program of China: 2016YFA0501701, 2016YFB0201700 - National Science Foundation of China: 21575128, 81773632

Documentation