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Main Author: Kjos-Hanssen, Bjørn
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2511.06617
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author Kjos-Hanssen, Bjørn
author_facet Kjos-Hanssen, Bjørn
contents The hydrophobic-polar (HP) model represents proteins as binary strings embedded in lattices, with fold quality measured by an energy score. We prove that the optimal fold energy is not monotonic under concatenation for several standard lattices, including the 2D and 3D rectangular, hexagonal, and triangular lattices. In other words, concatenating two polymers can produce a fold with strictly worse optimal energy than one of the polymers alone. For closed chains, we show that under the levels-of-hydrophobicity model of Agarwala et al. (1997), proper links can arise as uniquely optimal folds, revealing an unexpected connection between HP models and knot/link theory.
format Preprint
id arxiv_https___arxiv_org_abs_2511_06617
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Concatenative nonmonotonicity and optimal links in HP protein folding models
Kjos-Hanssen, Bjørn
Combinatorics
The hydrophobic-polar (HP) model represents proteins as binary strings embedded in lattices, with fold quality measured by an energy score. We prove that the optimal fold energy is not monotonic under concatenation for several standard lattices, including the 2D and 3D rectangular, hexagonal, and triangular lattices. In other words, concatenating two polymers can produce a fold with strictly worse optimal energy than one of the polymers alone. For closed chains, we show that under the levels-of-hydrophobicity model of Agarwala et al. (1997), proper links can arise as uniquely optimal folds, revealing an unexpected connection between HP models and knot/link theory.
title Concatenative nonmonotonicity and optimal links in HP protein folding models
topic Combinatorics
url https://arxiv.org/abs/2511.06617