Shape tracing: An extension of sphere tracing for 3D non-convex collision in protein docking

Leach, Adam; Rudden, Lucas S.P.; Bond-Taylor, Sam; Brigham, John C.; Degiacomi, Matteo T.; Willcocks, Chris G.

Abstract

This paper presents an algorithm, similar to implicit sphere tracing, that ray marches 3D non-convex shapes for efficient collision detection. Instead of finding points on the surface where individual rays strike, an entire shape is marched in unison by a lower bound of the boundary distance, calculated at the closest point between the two surfaces. Advancing one shape towards the other by this new bound allows us to identify a contact in few steps. This method supports arbitrary nonconvex shapes, and can be run in parallel. We apply this to protein-protein docking and show that we can identify around 80 docking poses per second featuring contact but no overlap, irrespective of proteins’ specific geometry. This paves the way to future fast docking algorithms, building upon implicit surface representations to quickly find a well-distributed subset of close candidate solutions for further investigation.

Citation

Leach, A., Rudden, L. S., Bond-Taylor, S., Brigham, J. C., Degiacomi, M. T., & Willcocks, C. G. (2020, December). Shape tracing: An extension of sphere tracing for 3D non-convex collision in protein docking. Presented at 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)
• Online Publication Date: Oct 26, 2020
• Publication Date: 2020
• Deposit Date: Dec 21, 2020
• Publicly Available Date: Apr 7, 2021
• Pages: 49-52
• Series Number: 20278581
• Series ISSN: 2471-7819
• Book Title: 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)
• DOI: https://doi.org/10.1109/bibe50027.2020.00016
• Public URL: https://durham-repository.worktribe.com/output/1139280