ReviewAnnual review of biophysics2013
Quantitative modeling of bacterial chemotaxis: signal amplification and accurate adaptation.
Review in Annual review of biophysics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
88 citing papers in PubMed.
- Article
- Emergent eukaryotic directional sensing via receptor degradation and diffusion.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Single-array measurements reveal non-uniform, mosaic-like chemosensory arrays in bacteria.Nature communications · 2025Article
- Signature of cooperativity in the stochastic fluctuations of small systems with application to the bacterial flagellar motor.Scientific reports · 2025Article
- ChemotaxingArXiv · 2025Article
- ChemotaxingbioRxiv : the preprint server for biology · 2025Article
- Role of a single MCP in evolutionary adaptation ofApplied and environmental microbiology · 2025Article
- Temporal Contrastive Learning through implicit non-equilibrium memory.Nature communications · 2025Article
- Stochastic thermodynamics for biological functions.Quantitative biology (Beijing, China) · 2025Review
- Optimal Cell Length for Exploration and Exploitation in Chemotactic Planktonic Bacteria.Environmental microbiology · 2024Article
- Data-driven discovery of chemotactic migration of bacteria via coordinate-invariant machine learning.BMC bioinformatics · 2024Article
- Time-reversal symmetry breaking in the chemosensory array reveals a general mechanism for dissipation-enhanced cooperative sensing.Nature communications · 2024Article
- EnhancerNet: a predictive model of cell identity dynamics through enhancer selection.Development (Cambridge, England) · 2024Article
- Article
- Signal integration and adaptive sensory diversity tuning in Escherichia coli chemotaxis.Cell systems · 2024Article
- Signal integration in chemoreceptor complexes.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- A nonequilibrium allosteric model for receptor-kinase complexes: The role of energy dissipation in chemotaxis signaling.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Signal amplification in growth cone gradient sensing by a double negative feedback loop among PTEN, PI(3,4,5)PMolecular and cellular neurosciences · 2022Article
- A multi-state dynamic process confers mechano-adaptation to a biological nanomachine.Nature communications · 2022Article
- A negative feedback loop in the GPCR pathway underlies efficient coding of external stimuli.Molecular systems biology · 2022Article
28 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
We review the recent developments in understanding the bacterial chemotaxis signaling pathway by using quantitative modeling methods. The models developed are based on structural information of the signaling complex and the dynamics of the underlying biochemical network. We focus on two important functions of the bacterial chemotaxis signaling pathway: signal amplification and adaptation. We describe in detail the structure and the dynamics of the mathematical models and how they compare with existing experiments, emphasizing the predictability of the models. Finally, we outline future directions for developing the modeling approach to better understand the bacterial chemosensory system.
Indexed as
Identifiers
What OpenQuestion holds
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.