Literature DB >> 19499049

An expert virtual instrument approach to the automated, data dependent MS/MS and LC/MS/MS analysis of proteins.

C G Croker1, J O Pearcy, D C Stahl, R E Moore, D A Keen, T D Lee.   

Abstract

Mass spectrometry has become an indispensable analytical tool for studies related to the structure and function of peptides and proteins. The variety of analytical methods, the range of instrument capabilities, and the complexity of the data obtained make it difficult for most laboratories to acquire the necessary expertise to make optimal use of their instrumentation.We describe an expert system approach to automating specific types of analyses in a way that makes it easier to transfer the capability to do specific experiments to other laboratories. Central to the approach is the creation of a computer program (ie, a virtual instrument) that controls the operation of physical components, analyzes incoming data, automatically adjusts instrument parameters to achieve the goal of the analysis, and reports the results. By interacting with the mass spectrometer through the computer operating system, it is possible to add useful functions to the system without altering any of the manufacturer-controlled data system software. The usefulness of this approach is illustrated by the automation of experiments to confirm the sequences of synthetic peptides and perform LC/MS/MS peak parking experiments and real-time database searches.

Entities:  

Year:  2000        PMID: 19499049      PMCID: PMC2291629     

Source DB:  PubMed          Journal:  J Biomol Tech        ISSN: 1524-0215


  2 in total

1.  Rapid drug metabolite profiling using fast liquid chromatography, automated multiple-stage mass spectrometry and receptor-binding.

Authors:  H K Lim; S Stellingweif; S Sisenwine; K W Chan
Journal:  J Chromatogr A       Date:  1999-01-29       Impact factor: 4.759

2.  Rapid protein identification using a microscale electrospray LC/MS system on an ion trap mass spectrometer.

Authors:  M T Davis; T D Lee
Journal:  J Am Soc Mass Spectrom       Date:  1998-03       Impact factor: 3.262

  2 in total
  1 in total

1.  Proteome-driven elucidation of adaptive responses to combined vitamin E and C deficiency in zebrafish.

Authors:  Ievgen Motorykin; Maret G Traber; Robert L Tanguay; Claudia S Maier
Journal:  J Proteome Res       Date:  2014-02-10       Impact factor: 4.466

  1 in total

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