#!/bin/tcsh
setenv FID ../1151_ghn_coA_S_16_32
setenv fidSP fidSP.com
setenv REC2FT recFT.com
setenv in_file nls.in
setenv selection_file nls.hdr_3
setenv FST_PNT_PPM 11
setenv ROISW 5
setenv proc_out ft/test%03d.dat
setenv SPARSE y
setenv NUS_TABLE_OFFSET 0
setenv NUS_POINTS 512
setenv NI '16 32 1 '
setenv NIMAX '32 64 1 '
setenv NDIM 3
setenv MDDTHREADS 10
setenv METHOD CS
setenv NCOMP 25
setenv NITER 50
setenv MDD_NOISE 0.7
setenv CEXP nnn
setenv CT_SP nnn
setenv lambda 0.001
setenv SRSIZE 0.1
setenv CS_alg IST
setenv CS_norm 1
setenv CS_lambda -1.0
setenv CS_niter 200
setenv CS_VE y
mddnmr4pipeN.sh 1 2 3 4 5
set ecode=$? ;if ( $ecode ) exit($ecode)
proj3D.tcl -in $proc_out
xyz2pipe -in $proc_out >1151_ghn_coA_S_16_32.ft3
When the MDD algorithm is used several CPU are effectively used.
--
--
You received this message because you are subscribed to the Google Groups "mddnmr" group.
To post to this group, send email to mdd...@googlegroups.com rom your registered email address.
To unsubscribe from this group, send email to mddnmr-un...@googlegroups.com
For more options, visit this group at http://groups.google.com/group/mddnmr
---
You received this message because you are subscribed to the Google Groups "mddnmr" group.
To unsubscribe from this group and stop receiving emails from it, send an email to mddnmr+un...@googlegroups.com.
For more options, visit https://groups.google.com/d/optout.
--
--
You received this message because you are subscribed to the Google Groups "mddnmr" group.
To post to this group, send email to mdd...@googlegroups.com rom your registered email address.
To unsubscribe from this group, send email to mddnmr-un...@googlegroups.com
For more options, visit this group at http://groups.google.com/group/mddnmr
---
You received this message because you are subscribed to the Google Groups "mddnmr" group.
To unsubscribe from this group and stop receiving emails from it, send an email to mddnmr+un...@googlegroups.com.
For more options, visit https://groups.google.com/d/optout.
-- Pozdrawiam, Krzysztof Kazimierczuk<br /> Krzysztof Kazimierczuk, PhD Laboratory of Intermolecular Interactions University of Warsaw Zwirki i Wigury 101, 02-089 Warsaw tel. +48 22 8220211 ext. 421
Dear MDDNMR users,
We like to announce a set of examples designed for comparing performance of several popular NUS processing methods from the MDDNMR package and other programs: MDD [1], IRLS [2], IST[2], LR[3], hmsIST [4], NESTA [5], SCRUB [6], and SMILE [7].
We start with representative protein spectra 2D HSQC, 2D NOESY, 3D 1H-15N NOESY-HSQC, and 3D HNCO, recorded in full. MDDNMR allows to sparsify full spectra for a given NUS schedule. All algorithms use exactly the same input and output in nmrPipe format. Thus a fair comparison of different algorithms and NUS schemes in respect to the reconstructed spectra quality is possible.
We are looking for repeating the procedure for many sampling schedules to make the analysis more representative. However, we like to make the scripts and examples public as soon as possible in order to allow the discussion and independent testing.
The processing script and analysis used in the examples are general and can be used for comparisons using any other full spectrum. For the processing, the scripts use default/recommended parameters. You can look at (e.g. in nmrDraw) and compare the reconstructed spectra with the reference and between different algorithms. In addition, there is a simple analysis of the spectra quality. Namely, intensities of the peaks defined in the nmrPipe peak lists are compared in the reference and reconstructed spectra. The correlation plots and correlation coefficients are displayed in gnuplot.
In order to process the spectra and look at the comparisons results follow the procedure described at http://mddnmr.spektrino.com/comparisons
[1] V. Y. Orekhov, V. A. Jaravine, Prog Nucl Mag Res Sp 2011, 59, 271-292.
[2] K. Kazimierczuk, V. Y. Orekhov, Angew. Chem.-Int. Edit. 2011, 50, 5556-5559.
[3] X. B. Qu, M. Mayzel, J. F. Cai, Z. Chen, V. Orekhov, Angew Chem Int Edit 2015, 54, 852-854.
[4] S. G. Hyberts, A. G. Milbradt, A. B. Wagner, H. Arthanari, G. Wagner, J. Biomol. NMR 2012, 52, 315-327.
[5] S. J. Sun, M. Gill, Y. F. Li, M. Huang, R. A. Byrd, J. Biomol. NMR 2015, 62, 105-117.
[6] B. E. Coggins, J. W. Werner-Allen, A. Yan, P. Zhou, J. Am. Chem. Soc. 2012, 134, 18619-18630.
[7] J. Ying, F. Delaglio, D. A. Torchia, A. Bax, J Biomol NMR 2016, 1-18.