SecStAnT to run in Windows online over Linux online downlo

This is the Windows app named SecStAnT to run in Windows online over Linux online whose latest release can be downloaded as SecStAnT.jar. It can be run online in the free hosting provider OnWorks for workstations.

 
 

Download and run online this app named SecStAnT 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:


SecStAnT to run in Windows online over Linux online


DESCRIPTION:

SecStAnT is a tool for the automatic creation of data-sets of structures from Protein Data Bank (PDB) with user-defined structural composition, and for the calculation of their internal variables distributions.

SecStAnT is able to
1. Select from PDB data sets of structures based on user specified secondary structures (defined based on internal PDB classification or on DSSP) and/or sequence motives.
2. Build Data-sets at different levels of resolution (all atoms, only backbone, only Cα, ...)
3. Evaluate statistical distributions of internal variables:
a. single variable distributions (including the most relevant in the atomistic representation, e.g. PHI and PSI and a number of those for the Cα based representation)
b. two variables correlations (including the PHI-PSI Ramachandran map and its equivalent in the Cα based representation)
c. three variables correlations


User interface

Java Swing


Programming Language

Java



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