Memory functions reveal structural properties of gene regulatory networks
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Memory functions reveal structural properties of gene regulatory networks
Authors
Keywords
Memory, Thermodynamics, DNA-binding proteins, Nonlinear dynamics, Neural networks, Gene regulation, Network motifs, Gene regulatory networks
Journal
PLoS Computational Biology
Volume 14, Issue 2, Pages e1006003
Publisher
Public Library of Science (PLoS)
Online
2018-02-23
DOI
10.1371/journal.pcbi.1006003
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Approximation and inference methods for stochastic biochemical kinetics—a tutorial review
- (2017) David Schnoerr et al. Journal of Physics A-Mathematical and Theoretical
- Neural Progenitors Adopt Specific Identities by Directly Repressing All Alternative Progenitor Transcriptional Programs
- (2016) Eva Kutejova et al. DEVELOPMENTAL CELL
- Michaelis-Menten dynamics in protein subnetworks
- (2016) Katy J. Rubin et al. JOURNAL OF CHEMICAL PHYSICS
- Morphisms of reaction networks that couple structure to function
- (2014) Luca Cardelli BMC Systems Biology
- A theoretical framework for the regulation of Shh morphogen-controlled gene expression
- (2014) M. Cohen et al. DEVELOPMENT
- Memory effects in biochemical networks as the natural counterpart of extrinsic noise
- (2014) Katy J. Rubin et al. JOURNAL OF THEORETICAL BIOLOGY
- Morphogen interpretation: the transcriptional logic of neural tube patterning
- (2013) Michael Cohen et al. CURRENT OPINION IN GENETICS & DEVELOPMENT
- Simplifying biochemical models with intermediate species
- (2013) E. Feliu et al. Journal of the Royal Society Interface
- The slow-scale linear noise approximation: an accurate, reduced stochastic description of biochemical networks under timescale separation conditions
- (2012) Philipp Thomas et al. BMC Systems Biology
- Gene Regulatory Logic for Reading the Sonic Hedgehog Signaling Gradient in the Vertebrate Neural Tube
- (2012) Nikolaos Balaskas et al. CELL
- Complexity reduction preserving dynamical behavior of biochemical networks
- (2012) Mochamad Apri et al. JOURNAL OF THEORETICAL BIOLOGY
- Thermodynamic State Ensemble Models of cis-Regulation
- (2012) Marc S. Sherman et al. PLoS Computational Biology
- A method for zooming of nonlinear models of biochemical systems
- (2011) Mikael Sunnåker et al. BMC Systems Biology
- Organism-Scale Modeling of Early Drosophila Patterning via Bone Morphogenetic Proteins
- (2010) David M. Umulis et al. DEVELOPMENTAL CELL
- Reaction-Diffusion Model as a Framework for Understanding Biological Pattern Formation
- (2010) S. Kondo et al. SCIENCE
- Dynamically consistent reduction of logical regulatory graphs
- (2010) Aurélien Naldi et al. THEORETICAL COMPUTER SCIENCE
- Transcription by the numbers redux: experiments and calculations that surprise
- (2010) Hernan G. Garcia et al. TRENDS IN CELL BIOLOGY
- Pattern formation in the vertebrate neural tube: a sonic hedgehog morphogen-regulated transcriptional network
- (2008) E. Dessaud et al. DEVELOPMENT
- Design principles of biochemical oscillators
- (2008) Béla Novák et al. NATURE REVIEWS MOLECULAR CELL BIOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started