PredRet: Prediction of retention time by direct mapping between multiple chromatographic systems

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PredRet : Prediction of retention time by direct mapping between multiple chromatographic systems. / Stanstrup, Jan; Neumann, Steffen; Vrhovšek, Urška.

In: Analytical Chemistry, Vol. 87, No. 18, 2015, p. 9421-9428.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Stanstrup, J, Neumann, S & Vrhovšek, U 2015, 'PredRet: Prediction of retention time by direct mapping between multiple chromatographic systems', Analytical Chemistry, vol. 87, no. 18, pp. 9421-9428. https://doi.org/10.1021/acs.analchem.5b02287

APA

Stanstrup, J., Neumann, S., & Vrhovšek, U. (2015). PredRet: Prediction of retention time by direct mapping between multiple chromatographic systems. Analytical Chemistry, 87(18), 9421-9428. https://doi.org/10.1021/acs.analchem.5b02287

Vancouver

Stanstrup J, Neumann S, Vrhovšek U. PredRet: Prediction of retention time by direct mapping between multiple chromatographic systems. Analytical Chemistry. 2015;87(18):9421-9428. https://doi.org/10.1021/acs.analchem.5b02287

Author

Stanstrup, Jan ; Neumann, Steffen ; Vrhovšek, Urška. / PredRet : Prediction of retention time by direct mapping between multiple chromatographic systems. In: Analytical Chemistry. 2015 ; Vol. 87, No. 18. pp. 9421-9428.

Bibtex

@article{9ca42c0836c847bab8021df3463082dc,
title = "PredRet: Prediction of retention time by direct mapping between multiple chromatographic systems",
abstract = "Demands in research investigating small molecules by applying untargeted approaches have been a key motivator for the development of repositories for mass spectrometry spectra and automated tools to aid compound identification. Comparatively little attention has been afforded to using retention times (RTs) to distinguish compounds and for liquid chromatography there are currently no coordinated efforts to share and exploit RT information. We therefore present PredRet; the first tool that makes community sharing of RT information possible across laboratories and chromatographic systems (CSs). At http://predret.org, a database of RTs from different CSs is available and users can upload their own experimental RTs and download predicted RTs for compounds which they have not experimentally determined in their own experiments. For each possible pair of CSs in the database, the RTs are used to construct a projection model between the RTs in the two CSs. The number of compounds for which RTs can be predicted and the accuracy of the predictions are dependent upon the compound coverage overlap between the CSs used for construction of projection models. At the moment, it is possible to predict up to 400 RTs with a median error between 0.01 and 0.28 min depending on the CS and the median width of the prediction interval ranging from 0.08 to 1.86 min. By comparing experimental and predicted RTs, the user can thus prioritize which isomers to target for further characterization and potentially exclude some structures completely. As the database grows, the number and accuracy of predictions will increase.",
author = "Jan Stanstrup and Steffen Neumann and Ur{\v s}ka Vrhov{\v s}ek",
year = "2015",
doi = "10.1021/acs.analchem.5b02287",
language = "English",
volume = "87",
pages = "9421--9428",
journal = "Industrial And Engineering Chemistry Analytical Edition",
issn = "0003-2700",
publisher = "American Chemical Society",
number = "18",

}

RIS

TY - JOUR

T1 - PredRet

T2 - Prediction of retention time by direct mapping between multiple chromatographic systems

AU - Stanstrup, Jan

AU - Neumann, Steffen

AU - Vrhovšek, Urška

PY - 2015

Y1 - 2015

N2 - Demands in research investigating small molecules by applying untargeted approaches have been a key motivator for the development of repositories for mass spectrometry spectra and automated tools to aid compound identification. Comparatively little attention has been afforded to using retention times (RTs) to distinguish compounds and for liquid chromatography there are currently no coordinated efforts to share and exploit RT information. We therefore present PredRet; the first tool that makes community sharing of RT information possible across laboratories and chromatographic systems (CSs). At http://predret.org, a database of RTs from different CSs is available and users can upload their own experimental RTs and download predicted RTs for compounds which they have not experimentally determined in their own experiments. For each possible pair of CSs in the database, the RTs are used to construct a projection model between the RTs in the two CSs. The number of compounds for which RTs can be predicted and the accuracy of the predictions are dependent upon the compound coverage overlap between the CSs used for construction of projection models. At the moment, it is possible to predict up to 400 RTs with a median error between 0.01 and 0.28 min depending on the CS and the median width of the prediction interval ranging from 0.08 to 1.86 min. By comparing experimental and predicted RTs, the user can thus prioritize which isomers to target for further characterization and potentially exclude some structures completely. As the database grows, the number and accuracy of predictions will increase.

AB - Demands in research investigating small molecules by applying untargeted approaches have been a key motivator for the development of repositories for mass spectrometry spectra and automated tools to aid compound identification. Comparatively little attention has been afforded to using retention times (RTs) to distinguish compounds and for liquid chromatography there are currently no coordinated efforts to share and exploit RT information. We therefore present PredRet; the first tool that makes community sharing of RT information possible across laboratories and chromatographic systems (CSs). At http://predret.org, a database of RTs from different CSs is available and users can upload their own experimental RTs and download predicted RTs for compounds which they have not experimentally determined in their own experiments. For each possible pair of CSs in the database, the RTs are used to construct a projection model between the RTs in the two CSs. The number of compounds for which RTs can be predicted and the accuracy of the predictions are dependent upon the compound coverage overlap between the CSs used for construction of projection models. At the moment, it is possible to predict up to 400 RTs with a median error between 0.01 and 0.28 min depending on the CS and the median width of the prediction interval ranging from 0.08 to 1.86 min. By comparing experimental and predicted RTs, the user can thus prioritize which isomers to target for further characterization and potentially exclude some structures completely. As the database grows, the number and accuracy of predictions will increase.

U2 - 10.1021/acs.analchem.5b02287

DO - 10.1021/acs.analchem.5b02287

M3 - Journal article

C2 - 26289378

AN - SCOPUS:84941702773

VL - 87

SP - 9421

EP - 9428

JO - Industrial And Engineering Chemistry Analytical Edition

JF - Industrial And Engineering Chemistry Analytical Edition

SN - 0003-2700

IS - 18

ER -

ID: 183243037