Mathematical analysis of mass action models of large complex chemical systems is typically only possible if the models are reduced. The most com-mon reduction technique is based on quasi-steady state assumptions. To in-crease the accuracy of this technique we propose delayed quasi-steady state assumptions (D-QSSA) which yield systems of delay differential equations. We define the approximation based on D-QSSA, prove the corresponding error estimate, and show how it approximates the invariant manifold. Then we define a class of well mixed chemical systems and formulate assump-tions enabling the application of D-QSSA. We also apply the D-QSSA to a model of Hes1 expression and to a cell-cycle model to illustrate the im-proved accuracy of the D...
We extend the quasi-steady state approximation (QSSA) as well with respect to the class of different...
Recently the application of the quasi-steady-state approximation QSSA to the stochastic simulation a...
There exist different schemes of model reduction for parametric ordinary differential systems arisin...
Mathematical analysis of mass action models of large complex chemi-cal systems is typically only pos...
summary:We develop and test a relatively simple enhancement of the classical model reduction method ...
summary:Quasi-steady state assumptions are often used to simplify complex systems of ordinary differ...
The quasi-steady-state assumption (QSSA) of biochemistry is studied as an approxi~nation that is imp...
Deterministic models of enzymatic reactions based on the quasi-steady state assumption (QSSA) and to...
Application of the quasi-steady-state approximation (QSSA) in chemical kinetics allows the concentra...
Abstract Chemical mechanisms for even simple reaction networks involve many highly reactive and shor...
Recently the application of the quasi-steady-state approximation _QSSA_ to the stochastic simulation...
The paper outlines a general approach to deriving quasi-steady-state approximations (QSSAs) of the s...
Recently the application of the quasi-steady-state approximation (QSSA) to the stochastic simulation...
Recently the application of the quasi-steady-state approximation (QSSA) to the stochastic simulation...
The Quasi-Steady-State Approximation (QSSA) is a method of getting approximate solutions to differen...
We extend the quasi-steady state approximation (QSSA) as well with respect to the class of different...
Recently the application of the quasi-steady-state approximation QSSA to the stochastic simulation a...
There exist different schemes of model reduction for parametric ordinary differential systems arisin...
Mathematical analysis of mass action models of large complex chemi-cal systems is typically only pos...
summary:We develop and test a relatively simple enhancement of the classical model reduction method ...
summary:Quasi-steady state assumptions are often used to simplify complex systems of ordinary differ...
The quasi-steady-state assumption (QSSA) of biochemistry is studied as an approxi~nation that is imp...
Deterministic models of enzymatic reactions based on the quasi-steady state assumption (QSSA) and to...
Application of the quasi-steady-state approximation (QSSA) in chemical kinetics allows the concentra...
Abstract Chemical mechanisms for even simple reaction networks involve many highly reactive and shor...
Recently the application of the quasi-steady-state approximation _QSSA_ to the stochastic simulation...
The paper outlines a general approach to deriving quasi-steady-state approximations (QSSAs) of the s...
Recently the application of the quasi-steady-state approximation (QSSA) to the stochastic simulation...
Recently the application of the quasi-steady-state approximation (QSSA) to the stochastic simulation...
The Quasi-Steady-State Approximation (QSSA) is a method of getting approximate solutions to differen...
We extend the quasi-steady state approximation (QSSA) as well with respect to the class of different...
Recently the application of the quasi-steady-state approximation QSSA to the stochastic simulation a...
There exist different schemes of model reduction for parametric ordinary differential systems arisin...