Literature DB >> 34004411

iPick: Multiprocessing software for integrated NMR signal detection and validation.

Mehdi Rahimi1, Yeongjoon Lee2, John L Markley3, Woonghee Lee4.   

Abstract

Peak picking is a critical step in biomolecular NMR spectroscopy. The program, iPick, presented here provides a scripting tool and a graphical user interface (GUI), which allow the user to perform interactive and intuitive peak picking and validation. The click-and-run GUI requires no computer programming skills, while the scripting tool can be used by more advanced users to customize the application. If used with a multi-core CPU, the multiprocessing feature of iPick reduces the processing time significantly by invoking parallel computing. The GUI is a plugin, compatible with the popular NMRFAM-SPARKY software package and its newly released successor, the POKY software. Features implemented in iPick include automated noise level detection and threshold setting, cross-validation against multiple spectra, and a method for quantifying peak reliability. The iPick software is cross-platform, open-source, and freely available from https://github.com/pokynmr/ipick.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Graphical user interface; Multidimensional NMR spectroscopy; Multiprocessing; NMRFAM-SPARKY; Noise level calculation; POKY; Peak validation; Python; Signal recognition

Mesh:

Year:  2021        PMID: 34004411      PMCID: PMC8767925          DOI: 10.1016/j.jmr.2021.106995

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  12 in total

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Journal:  Expert Rev Proteomics       Date:  2008-08       Impact factor: 3.940

2.  NMRbox: A Resource for Biomolecular NMR Computation.

Authors:  Mark W Maciejewski; Adam D Schuyler; Michael R Gryk; Ion I Moraru; Pedro R Romero; Eldon L Ulrich; Hamid R Eghbalnia; Miron Livny; Frank Delaglio; Jeffrey C Hoch
Journal:  Biophys J       Date:  2017-04-25       Impact factor: 4.033

3.  Peak picking multidimensional NMR spectra with the contour geometry based algorithm CYPICK.

Authors:  Julia M Würz; Peter Güntert
Journal:  J Biomol NMR       Date:  2017-02-03       Impact factor: 2.835

4.  INFOS: spectrum fitting software for NMR analysis.

Authors:  Albert A Smith
Journal:  J Biomol NMR       Date:  2017-02-03       Impact factor: 2.835

5.  NMRNet: a deep learning approach to automated peak picking of protein NMR spectra.

Authors:  Piotr Klukowski; Michal Augoff; Maciej Zieba; Maciej Drwal; Adam Gonczarek; Michal J Walczak
Journal:  Bioinformatics       Date:  2018-08-01       Impact factor: 6.937

6.  Nmrglue: an open source Python package for the analysis of multidimensional NMR data.

Authors:  Jonathan J Helmus; Christopher P Jaroniec
Journal:  J Biomol NMR       Date:  2013-03-02       Impact factor: 2.835

7.  NMRFAM-SPARKY: enhanced software for biomolecular NMR spectroscopy.

Authors:  Woonghee Lee; Marco Tonelli; John L Markley
Journal:  Bioinformatics       Date:  2014-12-12       Impact factor: 6.937

8.  Collaboration gets the most out of software.

Authors:  Andrew Morin; Ben Eisenbraun; Jason Key; Paul C Sanschagrin; Michael A Timony; Michelle Ottaviano; Piotr Sliz
Journal:  Elife       Date:  2013-09-10       Impact factor: 8.140

9.  Bayesian peak picking for NMR spectra.

Authors:  Yichen Cheng; Xin Gao; Faming Liang
Journal:  Genomics Proteomics Bioinformatics       Date:  2013-10-31       Impact factor: 7.691

10.  Integrative NMR for biomolecular research.

Authors:  Woonghee Lee; Gabriel Cornilescu; Hesam Dashti; Hamid R Eghbalnia; Marco Tonelli; William M Westler; Samuel E Butcher; Katherine A Henzler-Wildman; John L Markley
Journal:  J Biomol NMR       Date:  2016-03-29       Impact factor: 2.835

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  3 in total

1.  Fundamental and practical aspects of machine learning for the peak picking of biomolecular NMR spectra.

Authors:  Da-Wei Li; Alexandar L Hansen; Lei Bruschweiler-Li; Chunhua Yuan; Rafael Brüschweiler
Journal:  J Biomol NMR       Date:  2022-04-07       Impact factor: 2.582

2.  POKY software tools encapsulating assignment strategies for solution and solid-state protein NMR data.

Authors:  Ira Manthey; Marco Tonelli; Lawrence Clos Ii; Mehdi Rahimi; John L Markley; Woonghee Lee
Journal:  J Struct Biol X       Date:  2022-08-28

3.  ssPINE: Probabilistic Algorithm for Automated Chemical Shift Assignment of Solid-State NMR Data from Complex Protein Systems.

Authors:  Adilakshmi Dwarasala; Mehdi Rahimi; John L Markley; Woonghee Lee
Journal:  Membranes (Basel)       Date:  2022-08-26
  3 in total

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