HSYMDOCK
HSYMDOCK models symmetric homo-oligomeric protein complexes to predict arrangements exhibiting Cn and Dn symmetry for structural analysis.
Key Features:
- Symmetry Support: Supports docking for both Cn and Dn symmetries of homo-oligomers.
- Hierarchical Docking Algorithm: Employs a hierarchical symmetric docking algorithm to improve modeling accuracy and computational efficiency.
- Input Flexibility: Accepts either the structure or the sequence of a subunit molecule as input.
- Symmetry Prediction: Provides automatic prediction of the complex symmetry type in addition to allowing explicit specification.
- Performance and Evaluation: Demonstrated superior performance on benchmarks including 20 CASP11-CAPRI30 homo-oligomer targets, a symmetric docking benchmark of 213 Cn and 35 Dn targets, and a nonredundant test set of 55 transmembrane proteins.
- Efficiency: Typical docking runs complete in approximately 10 to 20 minutes per job.
Scientific Applications:
- Homo-oligomer modeling: Modeling the quaternary structures of homo-oligomeric protein complexes exhibiting Cn or Dn symmetry.
- Transmembrane protein oligomerization: Analyzing oligomeric arrangements of transmembrane proteins using benchmarked docking protocols.
- Mechanistic studies of symmetric interactions: Elucidating molecular architectures and interaction interfaces mediated by symmetric protein assemblies.
Methodology:
Uses a hierarchical symmetric docking algorithm with systematic exploration of docking configurations, accepts structure or sequence inputs, and includes automatic symmetry-type prediction to optimize speed and accuracy.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- PHP
- Added:
- 6/18/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Yan Y, Tao H, Huang S. HSYMDOCK: a docking web server for predicting the structure of protein homo-oligomers with Cn or Dn symmetry. Nucleic Acids Research. 2018;46(W1):W423-W431. doi:10.1093/nar/gky398. PMID:29846641. PMCID:PMC6030965.
DOI: 10.1093/nar/gky398
PMID: 29846641
PMCID: PMC6030965
Funding: - National Natural Science Foundation of China: 31670724
- National Key Research and Development Program of China: 2016YFC1305800, 2016YFC1305805