Results 11 to 20 of about 134,150 (259)

Roles of network topology in the relaxation dynamics of simple chemical reaction network models [PDF]

open access: yesScientific Reports
Understanding the relationship between the structure of chemical reaction networks and their reaction dynamics is essential for unveiling the design principles of living organisms.
Yusuke Himeoka   +3 more
doaj   +7 more sources

On Quantitative Comparison of Chemical Reaction Network Models [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2019
Chemical reaction networks (CRNs) provide a convenient language for modelling a broad variety of biological systems. These models are commonly studied with respect to the time series they generate in deterministic or stochastic simulations. Their dynamic
Ozan Kahramanoğulları
doaj   +5 more sources

Autonomous learning of generative models with chemical reaction network ensembles

open access: yesJournal of the Royal Society Interface
Can a micron-sized sack of interacting molecules autonomously learn an internal model of a complex and fluctuating environment? We draw insights from control theory, machine learning theory, chemical reaction network theory and statistical physics to develop a general architecture whereby a broad class of chemical systems can autonomously learn complex
William Poole   +2 more
exaly   +4 more sources

Inferring structure and parameters of stochastic reaction networks with logistic regression. [PDF]

open access: yesPLoS ONE
Identifying network structure and estimating reaction parameters remain central challenges in modeling chemical reaction networks. In this work, we develop likelihood-based methods that use multinomial logistic regression to infer both stoichiometries ...
Boseung Choi   +2 more
doaj   +2 more sources

Minimal model for oscillatory dynamics of a nonlinear chemical reaction network

open access: yesPhysica D: Nonlinear Phenomena, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sarang S Nath
exaly   +2 more sources

Diffusive network connected chemical reaction networks

open access: yesSystems Science & Control Engineering
A novel type of networked Chemical Reaction Network (CRN) model is proposed in this paper where the CRN subsystem nodes are connected in a bi-directional state-difference-driven way, forming a diffusive network. The diffusive connecting elements can also
Katalin M. Hangos   +2 more
doaj   +3 more sources

Linear stability analysis of chemical mechanism, Listanalchem: A tool for the search of spontaneous mirror symmetry breaking

open access: yesMethodsX, 2023
Homochirality, the phenomenon by which one of two virtually identical (non-superimposable mirror images) compounds is favored over the other in the chemistry of life, has been regarded as a requisite for the emergence of all living things on earth ...
Elkin Cruz   +2 more
doaj   +1 more source

Model discrimination of chemical reaction networks by linearization [PDF]

open access: yesProceedings of the 2010 American Control Conference, 2010
Systems biologists are often faced with competing models for a given experimental system. Performing experiments can be time-consuming and expensive. Therefore, a method for designing experiments that, with high probability, discriminate between competing models is desired.
Daniel Georgiev   +2 more
openaire   +1 more source

The GRETOBAPE Gas-phase Reaction Network: The Importance of Being Exothermic

open access: yesThe Astrophysical Journal Supplement Series, 2023
The gas-phase reaction networks are the backbone of astrochemical models. However, due to their complexity and nonlinear impact on the astrochemical modeling, they can be the first source of error in the simulations if incorrect reactions are present ...
Lorenzo Tinacci   +7 more
doaj   +1 more source

Piecewise Linear and Boolean Models of Chemical Reaction Networks [PDF]

open access: yesBulletin of Mathematical Biology, 2014
This is an extension of previous work arXiv:1201 ...
Veliz-Cuba, Alan   +2 more
openaire   +4 more sources

Home - About - Disclaimer - Privacy