Literature DB >> 7764850

Rapid and quantitative analysis of recombinant protein expression using pyrolysis mass spectrometry and artificial neural networks: application to mammalian cytochrome b5 in Escherichia coli.

R Goodacre1, A Karim, M A Kaderbhai, D B Kell.   

Abstract

Recombinant Escherichia coli clones encoding between 0 and 6 copies of the mammalian cytochrome b5 gene were subjected to pyrolysis mass spectrometry (PyMS). To deconvolute the pyrolysis mass spectra so as to obtain quantitative information on the amount of cytochrome b5 produced fully-interconnected feedforward artificial neural networks (ANNs) were studied. It was found that the combination of PyMS and ANNs could be used to predict the amount of cytochrome b5 expressed in E. coli. PyMS is a novel, convenient and rapid method for the screening and analysis of microbial and other cultures producing recombinant proteins.

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Year:  1994        PMID: 7764850     DOI: 10.1016/0168-1656(94)90088-4

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  3 in total

1.  Peptide sequence determination from high-energy collision-induced dissociation spectra using artificial neural networks.

Authors:  R E Scarberry; Z Zhang; D R Knapp
Journal:  J Am Soc Mass Spectrom       Date:  1995-10       Impact factor: 3.109

2.  Utilizing artificial neural networks in MATLAB to achieve parts-per-billion mass measurement accuracy with a fourier transform ion cyclotron resonance mass spectrometer.

Authors:  D Keith Williams; Alexander L Kovach; David C Muddiman; Kenneth W Hanck
Journal:  J Am Soc Mass Spectrom       Date:  2009-03-11       Impact factor: 3.109

3.  Commentary on "Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks".

Authors:  Royston Goodacre; Douglas B Kell
Journal:  FEMS Microbiol Lett       Date:  2017-05-01       Impact factor: 2.742

  3 in total

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