Titration Data Analysis in nmrPipe: Difference between revisions
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11. Use gnuFix.py to edit gnu scripts if necessary | 11. Use gnuFix.py to edit gnu scripts if necessary | ||
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[[category:Data_Processing_and_Analysis]] | [[category:Data_Processing_and_Analysis]] |
Revision as of 04:46, 11 September 2021
Titration Data Analysis in nmrPipe
1. Type “csh” in your terminal to get a c-shell 2. In a directory that contains the data folders create an “in.list” file which lists your data directories (vertically): 000/5, 010/5, 020/5, etc… 3. Run autoProc.com ./autoProc.com 4. Use ft.com to make corrections 5. Run setC.com Edit - fileCount - zT - zN - zSW dirList ligandCList proteinCList There is an nmrPipe titration tutorial that can be referenced if you need more help. 6. Open as a data series. nmrDraw ft/*.dat 7. Peak detection, edit peak tables names. tab/test%03d.tab, click “Detect”, click “Save” 8. Run view2D view2D.tcl $* -export titrView –hi 2.2e+5 –in ft/*.dat –tab tab/*.tab Click “Start”, edit contours, click “Export Region”, edit peaks, click “Save” 9. Run modelTitr modelTitr.tcl –axis XY –sigma 0.002 –cy 0.25 cy is the ratio of direct to indirect dimension SW 10. Run showTitr showTitr.tcl –in titrView.tab –var X_PPM Y_PPM –c 1.0 0.25 11. Use gnuFix.py to edit gnu scripts if necessary