Allostery Beyond Amplification: Temporal Regulation of Signaling Information.

Allostery is a fundamental mechanism of protein regulation and is commonly interpreted as modulating enzymatic activity or product abundance. Here we show that this view is incomplete. Using a stochastic model of allosteric regulation combined with an information-theoretic analysis, we quantify the mutual information between an enzyme's regulatory state and the states of downstream signaling components. Beyond controlling steady-state production levels, allostery also regulates the timing and duration over which information is transmitted. By tuning the temporal operating regime of signaling pathways, allosteric regulation enables distinct dynamical outcomes from identical molecular components, providing a physical mechanism for temporal information flow, signaling specificity, and coordination without changes in metabolic pathways.

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PubMed
Published
2026-01-07
Primary Topic
Gene Regulatory Network Analysis
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article
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article

Allostery Beyond Amplification: Temporal Regulation of Signaling Information.

S Presse, Pessoa Pm, S Banu Ozkan
PubMed
Gene Regulatory Network Analysis
article

Allostery Beyond Amplification: Temporal Regulation of Signaling Information.

S Presse, Pessoa Pm, S Banu Ozkan
article en

Abstract

Allostery is a fundamental mechanism of protein regulation and is commonly interpreted as modulating enzymatic activity or product abundance. Here we show that this view is incomplete. Using a stochastic model of allosteric regulation combined with an information-theoretic analysis, we quantify the mutual information between an enzyme's regulatory state and the states of downstream signaling components. Beyond controlling steady-state production levels, allostery also regulates the timing and duration over which information is transmitted. By tuning the temporal operating regime of signaling pathways, allosteric regulation enables distinct dynamical outcomes from identical molecular components, providing a physical mechanism for temporal information flow, signaling specificity, and coordination without changes in metabolic pathways.

PubMed
Arizona State University (US)
Openalex Percentile: Top 85%
Gene Regulatory Network Analysis
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