More Tight Bounds for Active Self-Assembly Using an Insertion Primitive
Benjamin Hescott, Caleb Malchik, Andrew Winslow

TL;DR
This paper establishes tight bounds on the capabilities and limits of insertion system self-assembly models, demonstrating their equivalence to context-free grammars and optimizing polymer length and assembly time.
Contribution
It proves the expressive power of insertion systems equals context-free grammars and provides tight bounds on polymer length and assembly time for various system restrictions.
Findings
Insertion systems are equivalent to context-free grammars.
Maximum polymer length is exponential in the number of monomer types.
Expected assembly time can be optimized based on system nondeterminism.
Abstract
We prove several limits on the behavior of a model of self-assembling particles introduced by Dabby and Chen (SODA 2013), called insertion systems, where monomers insert themselves into the middle of a growing linear polymer. First, we prove that the expressive power of these systems is equal to context-free grammars, answering a question posed by Dabby and Chen. Second, we give tight bounds on the maximum length and minimum expected time of constructed polymers in systems of three increasingly restricted classes. We prove that systems of monomer types can deterministically construct polymers of length in expected time. We also prove that if non-deterministic construction of a finite number of polymers is permitted, then the expected construction time can be reduced to at the trade-off of decreasing the length to…
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
TopicsAdvanced biosensing and bioanalysis techniques · DNA and Biological Computing · Modular Robots and Swarm Intelligence
