Results 81 to 90 of about 669,188 (305)

Parameter estimation for models of chemical reaction networks from experimental data of reaction rates

International Journal of Control, 2021
For the purpose of precise mathematical modelling of chemical reaction networks, useful techniques for estimating their parameters from experimental data are necessary. In this manuscript, we propose a new parameter estimation method for enzymatic chemical reaction networks from time-series experimental data of reaction rates. The main idea is based on
Manvel Gasparyan, Arnout Van Messem, Shodhan Rao   +2 more
openaire   +2 more sources

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

FEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva, Ariann E. Mendoza‐Martínez, P. Abril Medina‐Flores, Carlos Campero‐Basaldua, Alexander DeLuna, Soledad Funes   +5 more
wiley   +1 more source

FRECKLL: Full and Reduced Exoplanet Chemical Kinetics DistiLLed

The Astrophysical Journal
We introduce a new Python 1D chemical kinetic code, Full and Reduced Exoplanet Chemical Kinetics distiLLed ( FRECKLL ), to evolve large chemical networks efficiently.
Ahmed Faris Al-Refaie, Olivia Venot, Quentin Changeat, Billy Edwards   +3 more
doaj   +1 more source

Hybrid Chemical and Data-Driven Model for Stiff Chemical Kinetics Using a Physics-Informed Neural Network

Engineering Proceedings
Models of chemical kinetic processes, comprising systems of stiff ordinary differential equations (ODEs), are essential for modeling important chemical reactions relevant to drinking water chemistry, such as disinfectant decay and disinfection byproduct ...
Matthew Frankel, Mario De Florio, Enrico Schiassi, Lina Sela   +3 more
doaj   +1 more source

Transient Behavior of CO and CO₂ Hydrogenation on Fe@SiO₂ Core–Shell Model Catalysts—A Stoichiometric Analysis of Experimental Data

Reactions, 2022
The hydrogenation of CO and CO2 from industrial exhaust gases into CH4 represents a promising method for sustainable chemical energy storage. While iron-based catalysts are in principle suitable for that purpose, the active metal Fe undergoes a complex ...
Christian Zambrzycki, Robert Güttel
doaj   +1 more source

Formulating genome-scale kinetic models in the post-genome era. [PDF]

, 2008
The biological community is now awash in high-throughput data sets and is grappling with the challenge of integrating disparate data sets. Such integration has taken the form of statistical analysis of large data sets, or through the bottom-up ...
Jamshidi, Neema, Palsson, Bernhard Ø
core   +2 more sources

Sequence determinants of RNA G‐quadruplex unfolding by Arg‐rich regions

FEBS Letters, EarlyView.
We show that Arg‐rich peptides selectively unfold RNA G‐quadruplexes, but not RNA stem‐loops or DNA/RNA duplexes. This length‐dependent activity is inhibited by acidic residues and is conserved among SR and SR‐related proteins (SRSF1, SRSF3, SRSF9, U1‐70K, and U2AF1).
Naiduwadura Ivon Upekala De Silva, Puspa Kunwar, Md Ibnul Rifat Rahman, Joanna Koryo Kwao, Nathan Lehman, Zihan Zhang, Trenton Paul, Claire Cheng, Nicholas Truex, Hui‐Ting Lee, Jun Zhang   +10 more
wiley   +1 more source

Application of Artificial Neural Networks in an Experimental Batch Reactor of Styrene Polymerization for Predictive Model Development

Chemical Engineering Transactions, 2013
Batch reactors are widely used in the polymer industry, especially for multi-purpose processes where different types of polymers are produced on demand.
R. Ribeiro Santos, B. Santos, A.M. Fileti, F.V. Silva, R. Zemp   +4 more
doaj   +1 more source

Sensitivity analysis for stochastic chemical reaction networks with multiple time-scales [PDF]

, 2013
Stochastic models for chemical reaction networks have become very popular in recent years. For such models, the estimation of parameter sensitivities is an important and challenging problem. Sensitivity values help in analyzing the network, understanding
Ankit Gupta, M. Khammash
semanticscholar   +1 more source

Thermodynamic circuits: Modeling chemical reaction networks with nonequilibrium conductance matrices

Physical Review E
11 pages, 2 figures, last paper of the ...
Paul Raux, Christophe Goupil, Gatien Verley   +2 more
openaire   +2 more sources