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Computational tools and algorithms for ion mobility spectrometry-mass spectrometry.
Ross, Dylan H; Bhotika, Harsh; Zheng, Xueyun; Smith, Richard D; Burnum-Johnson, Kristin E; Bilbao, Aivett.
Afiliação
  • Ross DH; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
  • Bhotika H; Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.
  • Zheng X; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
  • Smith RD; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
  • Burnum-Johnson KE; Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.
  • Bilbao A; Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA.
Proteomics ; 24(12-13): e2200436, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38438732
ABSTRACT
Ion mobility spectrometry-mass spectrometry (IMS-MS or IM-MS) is a powerful analytical technique that combines the gas-phase separation capabilities of IM with the identification and quantification capabilities of MS. IM-MS can differentiate molecules with indistinguishable masses but different structures (e.g., isomers, isobars, molecular classes, and contaminant ions). The importance of this analytical technique is reflected by a staged increase in the number of applications for molecular characterization across a variety of fields, from different MS-based omics (proteomics, metabolomics, lipidomics, etc.) to the structural characterization of glycans, organic matter, proteins, and macromolecular complexes. With the increasing application of IM-MS there is a pressing need for effective and accessible computational tools. This article presents an overview of the most recent free and open-source software tools specifically tailored for the analysis and interpretation of data derived from IM-MS instrumentation. This review enumerates these tools and outlines their main algorithmic approaches, while highlighting representative applications across different fields. Finally, a discussion of current limitations and expectable improvements is presented.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Algoritmos / Software / Espectrometria de Mobilidade Iônica Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Algoritmos / Software / Espectrometria de Mobilidade Iônica Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article