Kinetic Model Builder to run in Windows online over Linux

This is the Windows app named Kinetic Model Builder to run in Windows online over Linux online whose latest release can be downloaded as KineticModelBuilder2.0-win32-2017-05-07.zip. It can be run online in the free hosting provider OnWorks for workstations.

 
 

Download and run online this app named Kinetic Model Builder to run in Windows online over Linux online with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

SCREENSHOTS:


Kinetic Model Builder to run in Windows online over Linux online


DESCRIPTION:

A 3D graphical interface for building, simulating and optimizing Markov kinetic models in response to user defined time dependent stimuli. Models can be represented as either states and connecting transitions or interacting allosteric elements (see http://dx.doi.org/10.1085/jgp.201411183). Model parameters can be optimized by fitting model responses to user data. Optional user defined constraint equations for model parameters are parsed with EigenLab (https://github.com/marcel-goldschen-ohm/EigenLab). Convenient simulation and summarization across 2-dimensional sets of stimulus conditions makes constructing stimulus-response curves incredibly simple. For ion channels, this is useful for simulating dose-response or current-voltage curves both with and without a secondary stimulus (e.g. some drug). A series of video tutorials are available at https://www.youtube.com/watch?v=7I2XPkdOvCg&list=PL-J_lULjiFsCPL2pkz8_tFe_aJ4Fc8a8k&index=1.

Audience

Science/Research


User interface

Qt


Programming Language

C++



This is an application that can also be fetched from https://sourceforge.net/projects/modbuilder/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.



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