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KMC-KaiC to run in Linux online download for Linux

Free download KMC-KaiC to run in Linux online Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named KMC-KaiC to run in Linux online whose latest release can be downloaded as KMC_KaiC_Original.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named KMC-KaiC to run in 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 the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.

- 5. From the OnWorks Linux 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, install it and run it.

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KMC-KaiC to run in Linux online


DESCRIPTION

This code is a dedicated Kinetic Monte Carlo (KMC) algorithm which simulates a model of the post-translational Kai circadian clock.
The code allows you to simulate the Kai system at the level of individual KaiC hexamers and monomers and explicitly tracks the turnover of every ATP nucleotide. Apart from ATP hydrolysis, all reactions obey detailed balance.

The application of the code is described in our article titled "A Thermodynamically consistent model of the post-translational Kai circadian clock", which is freely available at the open access journal PLOS Computational Biology:

https://doi.org/10.1371/journal.pcbi.1005415

*UPDATE* We made a fully reversible version of our model, including the inverse reactions for ATP hydrolysis. This makes it possible to run the model at thermodynamic equilibrium. This version of the model can be downloaded under KMC_KaiC_Rev.zip.

If you like to use our model for your own research, please cite our PLoS Computational Biology paper.

Audience

Science/Research


User interface

Command-line


Programming Language

C++



This is an application that can also be fetched from https://sourceforge.net/projects/kmc-kaic/. 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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