Multibody simulation of adhesion pili
Johan Zakrisson, Krister Wiklund, Martin Servin, Ove Axner, Claude, Lacoursiere, Magnus Andersson

TL;DR
This paper introduces a coarse-grained multibody model to simulate the mechanical behavior of bacterial adhesion pili, accurately capturing their force-extension response and effects of external forces and antibodies.
Contribution
The novel multibody model effectively reproduces experimental force-extension behaviors of bacterial pili, including antibody effects, enhancing understanding of bacterial adhesion mechanics.
Findings
Model matches experimental force-extension data
Reproduces effects of anti-shaft antibodies
Provides insights into pilus unwinding dynamics
Abstract
We present a coarse grained rigid multibody model of a subunit assembled helix-like polymer, e.g., adhesion pili expressed by bacteria, that is capable of describing the polymers force-extension response. With building blocks representing individual subunits the model appropriately describes the complex behavior of pili expressed by the gram-negative uropathogenic Escherichia coli bacteria under the action of an external force. Numerical simulations show that the dynamics of the model, which include both the effects of unwinding and rewinding, are in good quantitative agreement with the characteristic force-extension response as observed experimentally for type 1 and P pili. By tuning the model, it is also possible to reproduce the force-extension response in the presence of anti-shaft antibodies, which dramatically changes the mechanical properties. Thus, the model and the results in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBiochemical and Structural Characterization · Force Microscopy Techniques and Applications · Bacteriophages and microbial interactions
