Thank you for attending the seminar on PK/PD/PBPK Modeling using acslX®.

Thank you for joining us during the seminar. If there is any further information that we can provide please contact us.

If you would like to access a recorded copy of this seminar, Click here to view  .

The following questions were submitted during the seminar. If you have further question please send them to us at seminar@acslx.com.


Question Answer
Can I get a copy of the model files you used in the seminar? Click to download the model files.
Can I get a copy of the slides you used in the seminar? Click to download the seminar slides.
I would like to view a recorded copy of the webinar. Click here to view  
Can I get a demo version of acslX? For a free software trial, click here.
Where can I get pricing information? Please contact a sales represeative to recieve a quote to meet your exact software configuration needs.
Do you support population modeling?
We're currently finishing a population modeling tool which will initially support nonparameteric modeling using Bayesian techniques and MCMC sampling. The tool will also support parallel (cluster computer based) execution of models. Models will be defined using a langauge created for the specification of hierarchical statistical models. Pilot users will be receiving the first version of the tool within the next two months, and the tool should be widely available by the end of the year.
Where can I find example applications? Ask us for an evaluation version of acslX, and have a look at the example applications that are installed with the program. Also try using your favorite simulation engine to search the web for ACSL models; you'll find many example there as well. We also have a library of technical publications on out website, many of which include discussions on models and source code listings.
Does your software integrate with any 3rd party products? We currently have interfaces within acslX to MS Excel and MS Access, using special M functions. For MS Access, M functions are avaialble to execute SQL statements to either retrieve data from a database into an M variable, or to store data contained in a M variable into the databased. The MS Excel interface functions similarly allow data in M variables to be stored to a range of cells in an Excel spreadsheet, or retrieved from a range of cells. We also have an Excel plugin which allows acslX simulations to be controlled and executed from Excel spreadsheets. Cells in the spreadsheet are used to set the values of constants in the acslX simulation; similarly, values and time histories of model outputs are returned to Excel and placed in spreadsheet cells. This allows the complete mathematical and analysis capabilities of Excel to be applied to acslX simulation data.
During Parameter optimization, when you do different doses, do you want seperate files for parameters that you validate to like you have for the different doses Yes, for the PE wizard youll need to separate the data into different files to apply the descriptor value for each data set.
What operating systems do you support? The full version show during the webinar runs on various versions of MS Windows. We also support a command-line version of acslX which includes the interpreter, translator and simulation runtime, and which can be executed from a command prompt on many Linux distributions. This version uses GNU/Linux tools for things such as source file editing and plotting, and can be used as a batch-mode application for excution on Linux-based cluster computers.
What functionality is included with acslX, Optimum and PK toolkit? acslX is the basic software package. It contains the environment to build, execute and analyze models.

acslX Optimum is an enhancement to the comprehensive analysis tools provided in acslX. These include robust parameter estimation, min/max optimization, sensitivity analysis, and Monte Carlo analysis.

The PK/PD toolkit is a set of PowerBlocks commonly used in PK/PBPK/PD modeling.

When we use descriptors in parameter estimation wizard, is the model putting different values for that descriptors?

Assuming you have two CSL constants for IVDOSE and ORAL dose and corresponding data sets for each pathway exclusively the way I would first recommend handling the descriptors for it would be like this:

Is Matlab a requirement for acslX. Are the scripts between them compatable? acslX has it's own analysis environment and doesn't require Matlab. The scripting language that acslX uses is closely related to the Matlab language.

acslX models can be imbedded into Simulink. We are working on an interface wizard that would simplify this process.

Is there a limit on the number of parameters estimated as in older ACSL versions? There isn’t a set limit on the number of parameters to be estimated simultaneously – however as you estimate more parameters simultaneously the number of simulation runs required to complete the optimization increases dramatically (depending on the algorithm you’ve selected).
Is the regression weight (called here "Heteroscedasticity parameter") estimated as well if you uncheck the respective box?
You can include the Heteroscedasticity Parameter to the list of parameters the optimization algorithm uses to reduce the LLF, and you are correct when you guessed that is done by checking the ‘Vary Heteroscedasticity Parameter’ checkbox.
Can you simulate from a multivariate normal-distribution? yes, we support the multivariate normal distribution, but to construct a Monte Carlo analysis which uses it you have to specify the analysis using an M script (as opposed to letting the wizard generate it). Likewise, custom distributions, empirical distributions or other correlations between input parameters can be prescribed by specifying the Monte Carlo analysis in an M script.
Was the "pe300.m" script used for the Optimum procedure automatically generated or was it created separately? The pe300.m file was automatically generated by the Parameter Estimation Wizard for this case. It is just m-code though, so you could use that file as a template and modifiy it to do some other optimization.
Where are the optimum files that are generated by the PE wizard saved? How are the files named? Those m-files are created and saved in the project folder (the folder where the corresponding acslX project is) when the wizard is finished. The filename is the same as the one given when the PE wizard is launched.
Can constants be specified prior to the dynamic section? Constants can still be specified anywhere in the code- the translator will strip them out and put them into memory early on in the build process.

 

 

Sales Representative
Phone: (256) 922-0802
Fax: (256) 883-5516
Sales@AEgistg.com

Copyright 2007, The AEgis Technologies Group, Inc.