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Fast and versatile sequence-independent protein docking for nanomaterials design using RPXDock.

Authors :
William Sheffler
Erin C Yang
Quinton Dowling
Yang Hsia
Chelsea N Fries
Jenna Stanislaw
Mark D Langowski
Marisa Brandys
Zhe Li
Rebecca Skotheim
Andrew J Borst
Alena Khmelinskaia
Neil P King
David Baker
Source :
PLoS Computational Biology, Vol 19, Iss 5, p e1010680 (2023)
Publication Year :
2023
Publisher :
Public Library of Science (PLoS), 2023.

Abstract

Computationally designed multi-subunit assemblies have shown considerable promise for a variety of applications, including a new generation of potent vaccines. One of the major routes to such materials is rigid body sequence-independent docking of cyclic oligomers into architectures with point group or lattice symmetries. Current methods for docking and designing such assemblies are tailored to specific classes of symmetry and are difficult to modify for novel applications. Here we describe RPXDock, a fast, flexible, and modular software package for sequence-independent rigid-body protein docking across a wide range of symmetric architectures that is easily customizable for further development. RPXDock uses an efficient hierarchical search and a residue-pair transform (RPX) scoring method to rapidly search through multidimensional docking space. We describe the structure of the software, provide practical guidelines for its use, and describe the available functionalities including a variety of score functions and filtering tools that can be used to guide and refine docking results towards desired configurations.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
1553734X and 15537358
Volume :
19
Issue :
5
Database :
Directory of Open Access Journals
Journal :
PLoS Computational Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.19afdf7c313d401a9ed335aa3e0d5a14
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pcbi.1010680