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Abstract
Many biochemical measurements define state spaces that are bounded, absorbing, and generically noninvertible, yet are routinely analysed using categorically mismatched linear and Euclidean frameworks. This categorical mismatch can irretrievably obscure biological structure. This work formalises the minimal algebraic properties imposed by bounded biochemical state spaces, demonstrating that a bounded tropical semiring provides a natural category match by replacing additive linear structure with order-based, piecewise-linear operations that encode dominance, saturation, and path dependence without contradiction. To instantiate this framework, measurement-native tropical geometric analysis was applied to cysteine redox proteomic data (Oxi-Shapes). Oxi-Shapes represents cysteine oxidation occupancies as a bounded scalar field over a discrete lattice of invariant residue identities, enabling analysis of both ensemble-level organisation and site-wise admissible transitions. As demonstrated on empirical cysteine redox proteomic data, categorically correct algebraic structures exposed geometric features that remained inaccessible under unbounded linear representations.
| Original language | English |
|---|---|
| Article number | 101613 |
| Journal | Patterns |
| Early online date | 9 Jul 2026 |
| DOIs | |
| Publication status | E-pub ahead of print - 9 Jul 2026 |
Keywords
- tropical
- entropy
- data
- proteomics
- biochemical
- cysteine
- geometry
- oxi-shapes
- order
- redox
ASJC Scopus subject areas
- General Decision Sciences
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Deciphering The Role Of Adipose Tissue In Common Metabolic Disease Via Adipose Tissue Proteomics - Joint with Kings College, London
Lamond, A. (Investigator)
1/04/24 → 31/03/27
Project: Research
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