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Probabilistic framework for integration of mass spectrum and retention time information in small molecule identification.

Eric Bach | Simon Rogers | John Williamson | Juho Rousu
Bioinformatics (Oxford, England) | 2021

Identification of small molecules in a biological sample remains a major bottleneck in molecular biology, despite a decade of rapid development of computational approaches for predicting molecular structures using mass spectrometry (MS) data. Recently, there has been increasing interest in utilizing other information sources, such as liquid chromatography (LC) retention time (RT), to improve identifications solely based on MS information, such as precursor mass-per-charge and tandem mass spectrometry (MS2).

Pubmed ID: 33244585

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ChemSpider (tool)

RRID:SCR_006360

Collection of chemical structures. Provides access to structures, properties and associated information from hundreds of data sources to find compounds of interest and provides services to improve this data by curation and annotation and to integrate it with users applications.

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