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Topological characterization of the continuum of allosteric response

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arxiv 2401.13861 v1 pith:V3HMTQ4B submitted 2024-01-25 cond-mat.soft

classification cond-mat.soft
keywords allostericdeformationsnetworksanalysismechanismsproteinstopologicalarchetypes
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Allosteric regulation in proteins is often accompanied by conformational changes that facilitate transmission of mechanical signals between distant ligand binding sites. Typically, these deformations are classified in terms of specific archetypes, including various types of hinge mechanisms or allosteric pathways localized to sequences of amino acids.However, many allosteric deformations resist such strict categorization. Here, we introduce a quantitative topological description of allosteric deformation, unifying all archetypal mechanisms into a single framework. The topological description aligns with two key structural features often associated with allosteric deformations, namely hinge domains and allosteric pathways, enabling us to quantify the significance of each of these features. To develop the analysis, we tune computer-generated mechanical networks to perform allostery-like functions, obtaining an ensemble of networks that establish a range of possible allosteric deformations. The analysis shows that these networks' allosteric mechanisms cannot be described in terms of discrete archetypes - they fall on a continuum. We then apply the same analysis to a collection of allosteric proteins with similar results, showing that our framework encompasses these proteins as well as designed allosteric networks. Our results provide a new picture for allostery, demonstrating not only how it can be described quantitatively, but also giving insight into how it emerges as a collective property.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Thermally Robust Cooperative Function in Mechanical Networks

    cond-mat.soft 2025-09 conditional novelty 6.0 of 10

    Symmetric training of mechanical networks produces cooperative binding, and a modified training that raises the frequency of the functional mode increases the temperature at which thermal fluctuations destroy that coo...

  2. Microscopic imprints of learned solutions in adaptive resistor networks

    cond-mat.dis-nn 2024-12 conditional novelty 6.0 of 10

    The susceptibility of edges in a trained resistor network contains all physical information of the cost landscape and identifies the edges responsible for the learned function.

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