ReviewIn silico biology2015
The utility of simple mathematical models in understanding gene regulatory dynamics.
Review in In silico biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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.
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Who cites it
3 citing papers in PubMed.
- Operon dynamics with state dependent transcription and/or translation delays.Journal of mathematical biology · 2021Article
- Limit theorems for generalized density-dependent Markov chains and bursty stochastic gene regulatory networks.Journal of mathematical biology · 2020Article
- Stochastic modeling of biochemical systems with multistep reactions using state-dependent time delay.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this review, we survey work that has been carried out in the attempts of biomathematicians to understand the dynamic behaviour of simple bacterial operons starting with the initial work of the 1960's. We concentrate on the simplest of situations, discussing both repressible and inducible systems and then turning to concrete examples related to the biology of the lactose and tryptophan operons. We conclude with a brief discussion of the role of both extrinsic noise and so-called intrinsic noise in the form of translational and/or transcriptional bursting.
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Registered trials
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