ArticleNPJ systems biology and applications2019
Signal integration and information transfer in an allosterically regulated network.
Article in NPJ systems biology and applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Modeling reveals the strength of weak interactions in stacked-ring assembly.Biophysical journal · 2024Article
- Signal execution modes emerge in biochemical reaction networks calibrated to experimental data.iScience · 2024Article
- Extending BioMASS to construct mathematical models from external knowledge.Bioinformatics advances · 2024Article
- Article
- Structural insights into the half-of-sites reactivity in homodimeric and homotetrameric metalloenzymes.Current opinion in chemical biology · 2023Review
- A rational blueprint for the design of chemically-controlled protein switches.Nature communications · 2021Article
- Programmatic modeling for biological systems.Current opinion in systems biology · 2021Article
- Unsupervised logic-based mechanism inference for network-driven biological processes.PLoS computational biology · 2021Article
- A Probabilistic Approach to Explore Signal Execution Mechanisms With Limited Experimental Data.Frontiers in genetics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
A biological reaction network may serve multiple purposes, processing more than one input and impacting downstream processes via more than one output. These networks operate in a dynamic cellular environment in which the levels of network components may change within cells and across cells. Recent evidence suggests that protein concentration variability could explain cell fate decisions. However, systems with multiple inputs, multiple outputs, and changing input concentrations have not been studied in detail due to their complexity. Here, we take a systems biochemistry approach, combining physiochemical modeling and information theory, to investigate how cyclooxygenase-2 (COX-2) processes simultaneous input signals within a complex interaction network. We find that changes in input levels affect the amount of information transmitted by the network, as does the correlation between those inputs. This, and the allosteric regulation of COX-2 by its substrates, allows it to act as a signal integrator that is most sensitive to changes in relative input levels.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.