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.

Funding: - National Institute of General Medical Sciences of the National Institutes of Health: R01GM075004, R01GM097528 - National Science Foundation: DMS0800568, EF0850009, IIS0915801

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.

Documentation

Links