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Bioinformatics Resources for Interpreting Proteomics Mass Spectrometry Data

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Proteomics for Drug Discovery

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1647))

Abstract

Developments in mass spectrometry (MS) instrumentation have supported the advance of a variety of proteomic technologies that have enabled scientists to assess differences between healthy and diseased states. In particular, the ability to identify altered biological processes in a cell has led to the identification of novel drug targets, the development of more effective therapeutic drugs, and the growth of new diagnostic approaches and tools for personalized medicine applications. Nevertheless, large-scale proteomic data generated by modern mass spectrometers are extremely complex and necessitate equally complex bioinformatics tools and computational algorithms for their interpretation. A vast number of commercial and public resources have been developed for this purpose, often leaving the researcher perplexed at the overwhelming list of choices that exist. To address this challenge, the aim of this chapter is to provide a roadmap to the basic steps that are involved in mass spectrometry data acquisition and processing, and to describe the most common tools that are available for placing the results in biological context.

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Acknowledgment

This work was supported by grant NSF/DBI-1255991 to I.M.L.

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Authors and Affiliations

  1. Department of Biological Sciences, Virginia Tech, Integrated Life Sciences Building (ILSB), Room 2011, 1981 Kraft Drive, Blacksburg, VA, 24061, USA

    Iulia M. Lazar

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  1. Iulia M. Lazar
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Correspondence to Iulia M. Lazar .

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Editors and Affiliations

  1. Department of Biological Sciences, Virginia Tech, Blacksburg, Virginia, USA

    Iulia M. Lazar

  2. Department of Pharmaceutical Sciences, School of Pharmacy, Southern Illinois University Edwardsville, Edwardsville, Illinois, USA

    Maria Kontoyianni

  3. ImmunoGen, Waltham, Massachusetts, USA

    Alexandru C. Lazar

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Lazar, I.M. (2017). Bioinformatics Resources for Interpreting Proteomics Mass Spectrometry Data. In: Lazar, I., Kontoyianni, M., Lazar, A. (eds) Proteomics for Drug Discovery. Methods in Molecular Biology, vol 1647. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7201-2_19

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  • DOI: https://doi.org/10.1007/978-1-4939-7201-2_19

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7200-5

  • Online ISBN: 978-1-4939-7201-2

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