{"title":"DGet! An open source deuteration calculator for mass spectrometry data","authors":"Thomas E. Lockwood, Alexander Angeloski","doi":"10.1186/s13321-024-00828-x","DOIUrl":null,"url":null,"abstract":"<div><p>DGet! is an open-source analysis package written in Python for calculating the degree of deuterium enrichment in isotopically labelled molecules using mass spectrometric data. The nuclear properties of deuterium make it a valuable tracer in metabolic studies and an excellent contrast agent in nuclear spectroscopies. Determination of molecular deuteration levels is typically performed using mass spectrometry, however software options to perform these calculations are scarce. The in-house scripts and spreadsheets currently used rarely account for isotopic interferences from <sup>13</sup>C or multi-isotopic elements that impact deuteration calculations. DGet! removes isotopic interferences using de-convolution and both the isotopological makeup and overall deuteration level can be accurately recovered. The software is available as command line and web applications that take a molecular formula and mass spectrometry data and output a graphical representation of the degree of deuteration as well as the distribution of partially deuterated analogues. These applications are designed to be easy to use and enable superior characterisation of deuterated molecules for users of all levels of expertise, without the limitations of techniques currently used by the majority of deuteration laboratories and researchers.</p><h3>Graphical Abstract</h3>\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":617,"journal":{"name":"Journal of Cheminformatics","volume":"16 1","pages":""},"PeriodicalIF":7.1000,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://jcheminf.biomedcentral.com/counter/pdf/10.1186/s13321-024-00828-x","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cheminformatics","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1186/s13321-024-00828-x","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
DGet! is an open-source analysis package written in Python for calculating the degree of deuterium enrichment in isotopically labelled molecules using mass spectrometric data. The nuclear properties of deuterium make it a valuable tracer in metabolic studies and an excellent contrast agent in nuclear spectroscopies. Determination of molecular deuteration levels is typically performed using mass spectrometry, however software options to perform these calculations are scarce. The in-house scripts and spreadsheets currently used rarely account for isotopic interferences from 13C or multi-isotopic elements that impact deuteration calculations. DGet! removes isotopic interferences using de-convolution and both the isotopological makeup and overall deuteration level can be accurately recovered. The software is available as command line and web applications that take a molecular formula and mass spectrometry data and output a graphical representation of the degree of deuteration as well as the distribution of partially deuterated analogues. These applications are designed to be easy to use and enable superior characterisation of deuterated molecules for users of all levels of expertise, without the limitations of techniques currently used by the majority of deuteration laboratories and researchers.
期刊介绍:
Journal of Cheminformatics is an open access journal publishing original peer-reviewed research in all aspects of cheminformatics and molecular modelling.
Coverage includes, but is not limited to:
chemical information systems, software and databases, and molecular modelling,
chemical structure representations and their use in structure, substructure, and similarity searching of chemical substance and chemical reaction databases,
computer and molecular graphics, computer-aided molecular design, expert systems, QSAR, and data mining techniques.