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We are pleased to announce version 2.0 of the Systems Biology Toolbox 2 for
MATLAB.

Downloads and extensive documentation are available at
<http://www.sbtoolbox2.org/> www.sbtoolbox2.org.



The SBTOOLBOX2 is a user-friendly and very powerful MATLAB based software
for modeling,

simulation, and analysis of biochemical systems. Simulation performance lies
up to a factor

of 200 above standard MATLAB simulation. The toolbox allows for an easy and
straight-forward

set-up of multi-experiment and multi-measurement parameter estimation tasks
and runs on all

operating systems for which MATLAB is available.



A short list of new features is given below. The long version can be found
at: <http://www.sbtoolbox2.org/main.php?display=sbt2news>
http://www.sbtoolbox2.org/main.php?display=sbt2news



Best regards,



Henning Schmidt



Changes & New Features:

===================

* SBPD: Grahpical User Interface for users unfamiliar with MATLAB
scripting

* SBT2: 4 global sensitivity analysis methods

* SBT2: 9 new optimization methods included:

+ stdesSB: A standard (15,50)-Evolution Strategy

+ cmaesSB: (15,50)-Evolution Strategy with Covariance Matrix
Adaptation

+ gaSB: Standard Genetic Algorithm with elitism

+ psoSB: Particle Swarm Optimization with constriction

+ deSB: Differential Evolution algorithm

+ tribesSB: Tribes: an adaptive Particle Swarm Optimization

+ hillSB: Multi-start hill climbing

+ cbnSB: Clustering-based Niching Evolutionary Strategy

+ chcSB: Clustering multi-start hill climbing

* SBT2: Interface functions to the (f)SSm optimization methods

* SBT2: Array-type definition of models

* SBPD: Residual analysis

* SBT2: Plotting: The SBplot function can now also display the FFT and
the autocorrelation function of selected signals.

* SBPD: The SBPDmanualtuning function now allows specifying additional
components (states and variables) to be

displayed as simulation results even if they have not been
measured.

* SBT2: Improved stochastic simulation

* SBT2: New quadratic programming solvers

* SBPD: Parameter estimation benchmarks

* SBPD: Parameter estimation: improved handling

* SBT2: princompSB for the calculation of principal components.

* SBT2: Signal and data analysis functions

* SBT2+SBPD: Smaller bug fixes

o Problem with compilation of MEX simulation functions under
Unix/Linux.

o lipsolSB's FORTRAN MEX files changed to be compilable also under
MATLAB 7.2 and earlier (until 7.1).



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