ReviewCold Spring Harbor perspectives in biology2015
Signaling networks: information flow, computation, and decision making.
Review in Cold Spring Harbor perspectives in biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.
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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.
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Who cites it
60 citing papers in PubMed.
- Dynamic heterogeneity in an E. coli stress response regulon mediates gene activation and antimicrobial peptide tolerance.Cell reports · 2026Article
- A recursive enzymatic competition network capable of multitask molecular information processing.Nature chemistry · 2026Article
- Multiple input-multiple output (MIMO) designs in two-component signalling systems of Mycobacterium tuberculosis.FEMS microbiology reviews · 2026Review
- GPCR systems coordinate cellular resilience against aging-associated stress.Frontiers in molecular biosciences · 2026Review
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- scMINER: a mutual information-based framework for clustering and hidden driver inference from single-cell transcriptomics data.Nature communications · 2025Article
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- Distinct negative-sense RNA viruses induce a common set of transcripts encoding proteins forming an extensive network.Journal of virology · 2024Article
- Mathematical Modeling and Inference of Epidermal Growth Factor-Induced Mitogen-Activated Protein Kinase Cell Signaling Pathways.International journal of molecular sciences · 2024Review
- Two wrongs do not make a right: the assumption that an inhibitor acts as an inverse activator.Journal of mathematical biology · 2024Article
- Strategies for Enhancing Plant Immunity and Resilience Using Nanomaterials for Sustainable Agriculture.Environmental science & technology · 2024Review
- Heritable epigenetic changes are constrained by the dynamics of regulatory architectures.eLife · 2024Article
- Alternatives of Animal Models for Biomedical Research: a Comprehensive Review of Modern Approaches.Stem cell reviews and reports · 2024Review
- GINv2.0: a comprehensive topological network integrating molecular interactions from multiple knowledge bases.NPJ systems biology and applications · 2024Article
- Unraveling the interplay: exploring signaling pathways in pancreatic cancer in the context of pancreatic embryogenesis.Frontiers in cell and developmental biology · 2024Review
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- Mutual repression between JNK/AP-1 and JAK/STAT stratifies senescent and proliferative cell behaviors during tissue regeneration.PLoS biology · 2023Article
- The GRN concept as a guide for evolutionary developmental biology.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Signaling pathways come together to form networks that connect receptors to many different cellular machines. Such networks not only receive and transmit signals but also process information. The complexity of these networks requires the use of computational models to understand how information is processed and how input-output relationships are determined. Two major computational approaches used to study signaling networks are graph theory and dynamical modeling. Both approaches are useful; network analysis (application of graph theory) helps us understand how the signaling network is organized and what its information-processing capabilities are, whereas dynamical modeling helps us determine how the system changes in time and space upon receiving stimuli. Computational models have helped us identify a number of emergent properties that signaling networks possess. Such properties include ultrasensitivity, bistability, robustness, and noise-filtering capabilities. These properties endow cell-signaling networks with the ability to ignore small or transient signals and/or amplify signals to drive cellular machines that spawn numerous physiological functions associated with different cell states.
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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.