Cheshift

Type	PyMOL Plugin
Download	https://github.com/aloctavodia/cheshift/archive/v3.6.zip
Author(s)	Osvaldo Martin
License	GPL

Description

Result of a CheShift analysis.
Colors indicate the difference between predicted and observed ¹³C^α and/or ¹³C^βchemical shifts values averaged over all uploaded conformers. Green, yellow and red colors represent small, medium and large differences, respectively. White is used if either the prediction failed or the observed value is missing.
Blue is used to highlight residues for which the agreement between observed and predicted ¹³C^α and ¹³C^βchemical shifts can be improved, i.e., if the (χ¹ /χ² ) side-chain

CheShift (pronounced /tʃeʃɪft/) is a software for prediction of 13Cα and 13Cβ chemical shifts and validation of proteins structures. It is based on the idea that the differences between observed and predicted ¹³C^α and ¹³C^β chemical shifts can be used as a sensitive probe with which to detect possible local flaws in protein structures. A Web Server is also available.

This plugin provides a way to use PyMOL to validate a protein model using observed chemical shifts.

Version

The current version of this plugin is 3.6

Installation

Linux

1) The plugin can be downloaded from here [Here]

2) If you are using the incentive version of PyMOL skip the next step and go directly to step 4.

3) You should install NumPy and SciPy. These Python packages are available from the repositories of the main Linux distributions. Just use your default package manager (or command line) to install it. In Ubuntu/Debian you could do "sudo apt-get install python-numpy python-scipy".

4) Open PyMOL and then go to plugin --> plugin manager --> Install New Plugin --> Install from local file --> Choose file. and choose the zip file you download in step 1. Now the plugin should be installed. If you have an old version of PyMOL without the plugin manager then, unzip the file downloaded in step 1 and copy the "cheshift" folder to the plugin directory, probably something like "/usr/lib/python2.7/dist-packages/pmg_tk/startup"

Windows

This plugin have not been extensively tested on Windows machines, but it passed all the test I have done...

1) The plugin can be downloaded from here [Here]

2) If you are using the incentive version of PyMOL skip the next step and go directly to step 4.

3) You should install NumPy and SciPy. Probably the easiest way to do this on a Windows machine is to install a Python Distribution like [Anaconda] or [Canopy]

4) Open PyMOL and then go to plugin --> plugin manager --> Install New Plugin --> Install from local file --> Choose file. and choose the zip file you download in step 1. On Windows machine this step could take a couple of minutes, just wait for the confirmation message. Now the plugin should be installed. If you have an old version of PyMOL without the plugin manager then, unzip the file downloaded in step 1 and copy the "cheshift" folder to the plugin directory, probably something like "C:\Python27\Lib\site-packages\pmg_tk\startup\"

Mac OsX

This plugin have not been extensively tested on Windows machines, but it passed all the test I have done...

1) The plugin can be downloaded from here [Here]

2) If you are using the incentive version of PyMOL skip the next step and go directly to step 4.

3) You should install NumPy and SciPy. Probably the easiest way to do this on a Windows machine is to install a Python Distribution like [Anaconda] or [Canopy]

4) Open PyMOL and then go to plugin --> plugin manager --> Install New Plugin --> Install from local file --> Choose file. and choose the zip file you download in step 1. Now the plugin should be installed. If you have an old version of PyMOL without the plugin manager then, unzip the file downloaded in step 1 and copy the "cheshift" folder to the plugin directory, probably something like "/usr/lib/python2.7/dist-packages/pmg_tk/startup"

Using the Plugin for predicting ¹³C^α and ¹³C^β chemical shifts

1) Launch PyMOL and select a PDB file
2) Select "Cheshift" from the plugin menu.
3) Click the "Run" button.
4) The results will be saved in your working directory as a .txt file

Using the Plugin for protein structure validation

1) Launch PyMOL and select a PDB file
2) Select "Cheshift" from the plugin menu.
3) Select a file with the experimental chemical shift values.
4) Click the "Run" button.
5) Wait until results are displayed (this could take from seconds to a few minutes, depending on the size of your protein and the speed of your computer

Note:

• If the PDB file has more than one chain only the first one will be analysed.
• The PDB file must have no missing residues.
• Missing observed ¹³C^α and ¹³C^β chemical shifts are tolerated.
• A file with observed ¹³C^α and/or ¹³C^β chemical shift values is needed. The format of this file should be the one used in the BMRB or the PDB. Alternatively, you can provide a file with the following format the first line should contain the name of the reference compound i.e DSS, TSP or TMS. The following lines should have four columns. The first column should be the residue number, the second the residue name (three-letter code) and the third column the ¹³C^α experimental chemical shifts and the last column the ¹³C^β chemical shifts. Spaces should be used to separates the columns.

DSS
1 MET 55.63 32.95
2 TYR 62.81 39.27
3 ALA 53.78 18.97
4 GLY 47.24 999.00
5 LYS 57.55 32.77
6 ILE 56.38 38.59

License

CheShift plugin is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License. A complete copy of the GNU General Public License can be accessed here.

CheShift uses data derived from the Neighbor-Dependent Ramachandran Distributions obtained by the Dunbrack Lab. This derived data is also released under the GPL license, with the permission of Professor Roland Dunbrack. The full NDRD data is released using a different license.

Change log

• 2014-07-02 (Version 3.6)

Fix bug with relative path and add computation of the conformationally averaged rmsd (ca_rmsd). The ca_rmsd is the root mean square deviation of the theoretical chemical shift and the observed chemical shifts. The ca_rmsd is calculated for both nuclei (¹³C^α and ¹³C^β). If more than one conformation is used, the theoretical chemical shift for each residue is the average along all conformations.

• 2014-05-23 (Version 3.5)

Previous versions required an Internet connection. This is the first stand alone version, i.e. all computations are performed on the local machine. This version of the plugin performs the same computations the CheShift Server does. For details please read [1]

• 2013-08-28 (Version 3.0)

This version was able to establish a connection to the version of the CheShift Server described in [1]

• 2012-02-14 (Version 2.0)

This version was able to establish a connection to the version of the CheShift Server described in [2]

Citation

If you find this plugin useful please cite it as:

Martin O.A. Vila J.A. and Scheraga H.A. (2012). CheShift-2: Graphic validation of protein structures. Bioinformatics 2012. 28(11), 1538-1539.

References

[1] Martin O.A. Arnautova Y.A. Icazatti A.A. Scheraga H.A. and Vila J.A. A Physics-Based Method to Validate and Repair Flaws in Protein Structures. Proc Natl Acad Sci USA 2013, vol. 110 16826-16831.

[2] Vila J.A. Arnautova Y.A. Martin O.A. and Scheraga, H.A. (2009). Quantum-mechanics-derived ¹³C chemical shift server (CheShift) for protein structure validation. PNAS, 106(40), 16972-16977.

[3] Vila, J.A. and Scheraga H.A. (2009). Assessing the accuracy of protein structures by quantum mechanical computations of ¹³C^α chemical shifts. Accounts of chemical research, 42(10), 1545-53.