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map [2018/10/03 10:29] – created adminmap [2019/03/12 11:00] (current) edit
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-test+ 
 +---- 
 +====== Ramachandran Analysis ====== 
 + 
 + 
 +This analysis will create a Ramachandran plot for your peptide system in any range of trajectory files you desire. 
 + 
 +All scripts necessary can be found in the following path in DT2: 
 + 
 +/lustre/tcline/rama-analysis 
 + 
 +=== Gathering the phi-psi data === 
 + 
 +    - Copy the tcl script "phipsi.txt" to your directory with the trajectory files you want to analyze. 
 +  -  Open the script to see the arguments necessary [start] [end] [filename] [output file name] 
 +  -  You may need to adjust the lines including the .psf and the .dcd file names to your system 
 +  -  Load the module vmd on the command line by typing "module load vmd" (this is not done on your computer at home but on the resource you are using) 
 +  -  If this does not work, check what the vmd module is by typing "module avail" and then loading the appropriate vmd module 
 +  -  Once inside of the VMD application, load the tcl script by typing "source phipsi.txt" 
 +  -  Then type "phipsi [start] [end] [filename] [output file name]" 
 +  -  Once it completes, you can check with the example output to see if it matches the format; example output found at the path: 
 + /lustre/tcline/rama-analysis/ex-output 
 + 
 +=== Matlab Analysis === 
 + 
 +  - Once you have gathered all the data files you want for the blocks of trajectory files desired, transfer all of these data files to your home computer that has Matlab 
 +  -  In Matlab you'll upload "ramaplot.m" and navigate the working directory to the path where all your data files are 
 +  -  You'll need to edit the ~file~ variable containing the names of all the data files 
 +  -  Likewise, change the name of the plot titles to match the order of your data files in the variable ~titlelist~ 
 +  -  Example output of the plots is found in the example output folder listed above  
 + 
 +=== Group of 4 residue analysis === 
 + 
 +  - This analysis used the Matlab script "ResidGroupAnalysis.m" 
 +  - As with the standard analysis, you'll need to adjust the ~file~ and ~titlelist~ variables 
 +  - You also need to adjust the number of residues in your peptide with the variable ~residues~ 
 +  - The article [[https://www.sciencedirect.com/science/article/pii/S1359027896000466]] shows the effectiveness of using this group analysis compared to standard per residue Ramachandran plots 
 +  - Example output data is also found in the directory listed above 
map.1538576961.txt.gz · Last modified: 2018/10/03 10:29 by admin