Prediction of Metabolite Concentrations, Rate Constants and Post-Translational Regulation Using Maximum Entropy-Based Simulations with Application to Central Metabolism of Neurospora crassa-Reference-Cited by-同舟云学术

Prediction of Metabolite Concentrations, Rate Constants and Post-Translational Regulation Using Maximum Entropy-Based Simulations with Application to Central Metabolism of Neurospora crassa

Published:2018-05-28 Issue:6 Volume:6 Page:63
ISSN:2227-9717
Container-title:Processes
language:en
Short-container-title:Processes

Author:

Cannon William,Zucker Jeremy,Baxter Douglas,Kumar Neeraj,Baker Scott^ORCID,Hurley Jennifer,Dunlap Jay

Funder

National Institute of Biomedical Imaging and Bioengineering

U.S. Department of Energy

Publisher

MDPI AG

Subject

Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering

Link

http://www.mdpi.com/2227-9717/6/6/63/pdf

Reference51 articles.

1. Dynamics of folded proteins

2. Mechanism of the G-protein mimetic nanobody binding to a muscarinic G-protein-coupled receptor

3. Theoretical studies of enzymic reactions: Dielectric, electrostatic and steric stabilization of the carbonium ion in the reaction of lysozyme

4. Macroscopic prediction;Jaynes,1985

5. Principles of maximum entropy and maximum caliber in statistical physics

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Probabilistic and maximum entropy modeling of chemical reaction systems: Characteristics and comparisons to mass action kinetic models;The Journal of Chemical Physics;2024-06-06

2. An approach to learn regulation to maximize growth and entropy production rates in metabolism;Frontiers in Systems Biology;2023-04-05

3. Metabolomics and modelling approaches for systems metabolic engineering;Metabolic Engineering Communications;2022-12

4. Mathematics of the Circular Economics;Practice, Progress, and Proficiency in Sustainability;2022-06-17

5. Reinforcement learning for robot research: A comprehensive review and open issues;International Journal of Advanced Robotic Systems;2021-05-01