Computational Complexity of Flattening Fixed-Angle Orthogonal Chains

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https://doi.org/10.57717/cgt.v2i2.34

Abstract

Planar/flat configurations of fixed-angle chains and trees are well studied in the context of polymer science, molecular biology, and puzzles. In this paper, we focus on a simple type of fixed-angle linkage: every edge has unit length (equilateral), and each joint has a fixed angle of 90◦ (orthogonal) or 180◦ (straight). When the linkage forms a path (open chain), it always has a planar configuration, the zig-zag with alternating 90◦ angles between left and right turns. But when the linkage forms a cycle (closed chain), or is forced to lie in a box of fixed size, we prove that the flattening problem - deciding whether there is a planar noncrossing configuration - is strongly NP-complete.

Back to open chains, we turn to the Hydrophobic–Hydrophilic (HP) model of protein folding, where each vertex is labeled H or P, and the goal is to find a folding that maximizes the number of H–H adjacencies. In the well-studied HP model, the joint angles are not fixed. We introduce and analyze the fixed-angle HP model, which is motivated by real-world proteins. We prove strong NP-completeness of finding a planar noncrossing configuration of a fixed-angle orthogonal equilateral open chain with the most H–H adjacencies, even if the chain has only two H vertices. (Effectively, this lets us force the chain to be closed.)

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Published

2026-05-18

How to Cite

Demaine, E. D., Ito, H., Lynch, J., & Uehara, R. (2026). Computational Complexity of Flattening Fixed-Angle Orthogonal Chains. Computing in Geometry and Topology, 2(2), 7:1–7:27. https://doi.org/10.57717/cgt.v2i2.34

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