Abstract
The field of proteomics has grown vertiginously in the last years. This has been due fundamentally to technological improvements in the instrumentation, methods, and easy-to-use software, thereby making it possible to address a large number of biological questions and to deepen the study of the proteome of several organisms. The development in the field has imposed a challenge in the computational analysis of the commonly obtained large datasets generated in a single proteomics experiment, which still remains. An alternative to tackle this general issue has been the use of auxiliary information generated during the proteomics experiment to validate the confidence of the identifications. In this manuscript we review the main molecular descriptors used for building predictor models for estimating retention time, isoelectric point and peptide “detectability”, which are key tools in the design of several validation strategies based in these criteria. We also give an overview of the main open source tools and libraries used for computing molecular descriptors.
Keywords: Proteomics, molecular descriptor, retention time, isoelectric point, proteotypic peptide, bioinformatics tools, support vector machine, cheminformatics.
Current Topics in Medicinal Chemistry
Title:A Survey of Molecular Descriptors Used in Mass Spectrometry Based Proteomics
Volume: 14 Issue: 3
Author(s): Enrique Audain, Aniel Sanchez, Juan Antonio Vizcaíno and Yasset Perez-Riverol
Affiliation:
Keywords: Proteomics, molecular descriptor, retention time, isoelectric point, proteotypic peptide, bioinformatics tools, support vector machine, cheminformatics.
Abstract: The field of proteomics has grown vertiginously in the last years. This has been due fundamentally to technological improvements in the instrumentation, methods, and easy-to-use software, thereby making it possible to address a large number of biological questions and to deepen the study of the proteome of several organisms. The development in the field has imposed a challenge in the computational analysis of the commonly obtained large datasets generated in a single proteomics experiment, which still remains. An alternative to tackle this general issue has been the use of auxiliary information generated during the proteomics experiment to validate the confidence of the identifications. In this manuscript we review the main molecular descriptors used for building predictor models for estimating retention time, isoelectric point and peptide “detectability”, which are key tools in the design of several validation strategies based in these criteria. We also give an overview of the main open source tools and libraries used for computing molecular descriptors.
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Cite this article as:
Audain Enrique, Sanchez Aniel, Vizcaíno Antonio Juan and Perez-Riverol Yasset, A Survey of Molecular Descriptors Used in Mass Spectrometry Based Proteomics, Current Topics in Medicinal Chemistry 2014; 14 (3) . https://dx.doi.org/10.2174/1568026613666131204113537
DOI https://dx.doi.org/10.2174/1568026613666131204113537 |
Print ISSN 1568-0266 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4294 |
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