Modeling knotted proteins with tangles
Isabel K. Darcy, Garrett Jones, Puttipong Pongtanapaisan

TL;DR
This paper extends a topological model of protein knot formation by incorporating crossing signs and tangle calculus, predicting likely protein knots and providing methods for engineering specific knotted proteins.
Contribution
It advances the theoretical understanding of protein knotting by integrating crossing signs into the model and applying tangle calculus to predict and engineer protein knots.
Findings
Twist knots are most likely in proteins.
Predicted knots include +3_1, 4_1, and -5_2.
Provides recipes for engineering specific knots.
Abstract
Although rare, an increasing number of proteins have been observed to contain entanglements in their native structures. To gain more insight into the significance of protein knotting, researchers have been investigating protein knot formation using both experimental and theoretical methods. Motivated by the hypothesized folding pathway of -haloacid dehalogenase (DehI) protein, Flapan, He, and Wong proposed a theory of how protein knots form, which includes existing folding pathways described by Taylor and B\"olinger et al. as special cases. In their topological descriptions, two loops in an unknotted open protein chain containing at most two twists each come close together, and one end of the protein eventually passes through the two loops. In this paper, we build on Flapan, He, and Wong's theory where we pay attention to the crossing signs of the threading process and assume…
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
TopicsGeometric and Algebraic Topology
