LZerD
LZerD predicts protein-protein docking configurations to model multimeric protein complex structures, including via its Multi-LZerD variant that assembles multimeric complexes by reusing pairwise docking predictions.
Key Features:
- Multiple Protein Docking: Multi-LZerD extends LZerD to model multimeric complexes by reusing pairwise docking predictions to build comprehensive assemblies.
- Genetic Algorithm for Conformational Exploration: Employs a genetic algorithm to explore conformational space and identify potential binding configurations, improving discovery of near-native conformations.
- Structure Refinement Procedure: Incorporates a structure refinement step to further optimize and validate predicted complex models.
- Benchmarking Success: Benchmarked on eleven hetero-multimeric complexes, achieving near-native conformations for all but one with RMSD smaller than 2.5Å from native structures.
- Handling Unbound Docking Cases: Manages unbound docking scenarios and has been reported to outperform comparable methodologies in those cases.
Scientific Applications:
- Structural biology: Predicts near-native structures for multimeric complexes of various topologies to support structural characterization.
- Assembly and mechanism studies: Provides structural models to investigate complex assembly and molecular mechanisms of protein interactions.
- Drug discovery: Supplies accurate models of target complexes that can inform therapeutic design and target validation.
Methodology:
Reuses pairwise docking predictions to assemble multimeric complexes; employs a genetic algorithm for conformational exploration; applies a structure refinement procedure to optimize predicted models.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- C++
- Added:
- 12/18/2017
- Last Updated:
- 12/10/2018
Operations
Publications
Li B, Kihara D. Protein docking prediction using predicted protein-protein interface. BMC Bioinformatics. 2012;13(1). doi:10.1186/1471-2105-13-7. PMID:22233443. PMCID:PMC3287255.
Esquivel-Rodríguez J, Kihara D. Effect of conformation sampling strategies in genetic algorithm for multiple protein docking. BMC Proceedings. 2012;6(S7). doi:10.1186/1753-6561-6-s7-s4. PMID:23173833. PMCID:PMC3504801.
Esquivel‐Rodríguez J, Yang YD, Kihara D. Multi‐LZerD: Multiple protein docking for asymmetric complexes. Proteins: Structure, Function, and Bioinformatics. 2012;80(7):1818-1833. doi:10.1002/prot.24079. PMID:22488467. PMCID:PMC3370124.
Esquivel-Rodriguez J, Filos-Gonzalez V, Li B, Kihara D. Pairwise and Multimeric Protein–Protein Docking Using the LZerD Program Suite. Methods in Molecular Biology. 2014. doi:10.1007/978-1-4939-0366-5_15.