RPXDock

RPXDock performs sequence-independent rigid-body protein docking to design and assemble multi-subunit structures with point group and lattice symmetries.


Key Features:

  • Sequence-Independence: Operates without reliance on amino-acid sequence, enabling docking of cyclic oligomers into architectures defined by point group or lattice symmetries.
  • Hierarchical Search Algorithm: Employs an efficient hierarchical search strategy to navigate the extensive multidimensional rigid-body docking space.
  • Residue-Pair Transform (RPX) Scoring Method: Uses the residue-pair transform (RPX) scoring method to evaluate candidate interfaces based on residue-pair geometries.
  • Modular Design: Provides a modular codebase that enables customization and extension for novel symmetric architectures.

Scientific Applications:

  • Multi-subunit assembly design: Computational design of multi-subunit protein assemblies across diverse symmetric architectures.
  • Vaccine development: Supports computational workflows relevant to vaccine development by enabling arrangement of antigenic subunits in defined symmetric assemblies.
  • Nanomaterials design: Facilitates design of protein-based nanomaterials by enabling predictable assembly of building blocks into point group or lattice symmetries.

Methodology:

Combines a hierarchical search approach with the residue-pair transform (RPX) scoring method to explore and filter candidate rigid-body docking configurations within point group and lattice symmetric architectures.

Topics

Details

License:
Apache-2.0
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python, C++
Added:
1/10/2024
Last Updated:
11/24/2024

Operations

Publications

Sheffler W, Yang EC, Dowling Q, Hsia Y, Fries CN, Stanislaw J, Langowski MD, Brandys M, Li Z, Skotheim R, Borst AJ, Khmelinskaia A, King NP, Baker D. Fast and versatile sequence-independent protein docking for nanomaterials design using RPXDock. PLOS Computational Biology. 2023;19(5):e1010680. doi:10.1371/journal.pcbi.1010680. PMID:37216343. PMCID:PMC10237659.

PMID: 37216343
Funding: - National Science Foundation: CHE-1629214, DGE-1762114 - Bill and Melinda Gates Foundation: INV-010680 - Office of Science: DE-SC0018940 MOD03 - National Institutes of Health: 1P01AI167966, P50AI150464