Name
Abstract | ||
|---|---|---|
BackgroundThe mechanistic description of enzyme kinetics in a dynamic model of metabolism requires specifying the numerical values of a large number of kinetic parameters. The parameterization challenge is often addressed through the use of simplifying approximations to form reaction rate laws with reduced numbers of parameters. Whether such simplified models can reproduce dynamic characteristics of the full system is an important question. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1186/s12918-016-0283-2 | BMC Systems Biology |
Keywords | Field | DocType |
Metabolic modeling, Kinetic modeling, Approximate rate laws, Michaelis-Menten kinetics, Mass action kinetics | Rate equation,Parametrization,Computer science,Top-down and bottom-up design,Reaction rate,Bioinformatics,Kinetic energy | Journal |
Volume | Issue | ISSN |
10 | 1 | 1752-0509 |
Citations | PageRank | References |
2 | 0.45 | 9 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bin Du | 1 | 2 | 0.78 |
| Daniel C. Zielinski | 2 | 17 | 2.52 |
| Erol S. Kavvas | 3 | 2 | 1.46 |
| Andreas Dräger | 4 | 292 | 22.16 |
| Justin Tan | 5 | 2 | 0.45 |
| Zhen Zhang | 6 | 2 | 0.45 |
| Kayla E. Ruggiero | 7 | 2 | 0.45 |
| Garri A. Arzumanyan | 8 | 2 | 0.45 |
| Bernhard O. Palsson | 9 | 751 | 67.99 |