Lucas S.P. Rudden
Protein docking using a single representation for protein surface, electrostatics and local dynamics
Rudden, Lucas S.P.; Degiacomi, Matteo T.
Abstract
Predicting the assembly of multiple proteins into specific complexes is critical to the understanding of their biological function in an organism, and thus the design of drugs to address their malfunction. Proteins are flexible molecules, and this inherently poses a problem to any protein docking computational method, where even a simple rearrangement of the side chain and backbone atoms at the interface of binding partners complicates the successful determination of the correct docked pose. Herein, we present a means of representing protein surface, electrostatics and local dynamics within a single volumetric descriptor. We show that our representations can be physically related to the surface accessible solvent area and mass of the protein. We then demonstrate that the application of this representation into a protein-protein docking scenario bypasses the need to compensate for, and predict, specific side chain packing at the interface of binding partners. This representation is leveraged in our de novo protein docking software, JabberDock, which we show can accurately and robustly predict difficult target complexes with an average success rate of >54%, which is comparable to or greater than currently available methods.
Citation
Rudden, L. S., & Degiacomi, M. T. (2019). Protein docking using a single representation for protein surface, electrostatics and local dynamics. Journal of Chemical Theory and Computation, 15(9), 5135-5143. https://doi.org/10.1021/acs.jctc.9b00474
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 7, 2019 |
Online Publication Date | Aug 7, 2019 |
Publication Date | Sep 10, 2019 |
Deposit Date | Aug 19, 2019 |
Publicly Available Date | Aug 19, 2019 |
Journal | Journal of Chemical Theory and Computation |
Print ISSN | 1549-9618 |
Electronic ISSN | 1549-9626 |
Publisher | American Chemical Society |
Peer Reviewed | Peer Reviewed |
Volume | 15 |
Issue | 9 |
Pages | 5135-5143 |
DOI | https://doi.org/10.1021/acs.jctc.9b00474 |
Public URL | https://durham-repository.worktribe.com/output/1295011 |
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Copyright Statement
This is an open access article published under a Creative Commons Attribution (CC-BY)
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provided the author and source are cited.
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