Literature DB >> 26799864

Peptide retention time prediction.

Luminita Moruz1, Lukas Käll1.   

Abstract

Most methods for interpreting data from shotgun proteomics experiments are to large degree dependent on being able to predict properties of peptide-ions. Often such predicted properties are limited to molecular mass and fragment spectra, but here we put focus on a perhaps underutilized property, a peptide's chromatographic retention time. We review a couple of different principles of retention time prediction,and their applications within computational proteomics.
© 2016 Wiley Periodicals, Inc. Mass Spec Rev 36:615-623, 2017. © 2016 Wiley Periodicals, Inc.

Keywords:  bioinformatics; chromatography; mass spectrometry; peptides; regression analysis

Mesh:

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Year:  2016        PMID: 26799864     DOI: 10.1002/mas.21488

Source DB:  PubMed          Journal:  Mass Spectrom Rev        ISSN: 0277-7037            Impact factor:   10.946


  16 in total

1.  DeepLC can predict retention times for peptides that carry as-yet unseen modifications.

Authors:  Robbin Bouwmeester; Ralf Gabriels; Niels Hulstaert; Lennart Martens; Sven Degroeve
Journal:  Nat Methods       Date:  2021-10-28       Impact factor: 28.547

2.  Probabilistic metabolite annotation using retention time prediction and meta-learned projections.

Authors:  Constantino A García; Alberto Gil-de-la-Fuente; Coral Barbas; Abraham Otero
Journal:  J Cheminform       Date:  2022-06-07       Impact factor: 8.489

3.  Evaluation of Machine Learning Models for Proteoform Retention and Migration Time Prediction in Top-Down Mass Spectrometry.

Authors:  Wenrong Chen; Elijah N McCool; Liangliang Sun; Yong Zang; Xia Ning; Xiaowen Liu
Journal:  J Proteome Res       Date:  2022-05-26       Impact factor: 5.370

4.  Prediction of Chromatography Conditions for Purification in Organic Synthesis Using Deep Learning.

Authors:  Mantas Vaškevičius; Jurgita Kapočiūtė-Dzikienė; Liudas Šlepikas
Journal:  Molecules       Date:  2021-04-23       Impact factor: 4.411

5.  Locus-specific Retention Predictor (LsRP): A Peptide Retention Time Predictor Developed for Precision Proteomics.

Authors:  Wenyuan Lu; Xiaohui Liu; Shanshan Liu; Weiqian Cao; Yang Zhang; Pengyuan Yang
Journal:  Sci Rep       Date:  2017-03-17       Impact factor: 4.379

6.  Peptide Retention in Hydrophilic Strong Anion Exchange Chromatography Is Driven by Charged and Aromatic Residues.

Authors:  Sven H Giese; Yasushi Ishihama; Juri Rappsilber
Journal:  Anal Chem       Date:  2018-03-21       Impact factor: 6.986

7.  Prediction of LC-MS/MS Properties of Peptides from Sequence by Deep Learning.

Authors:  Shenheng Guan; Michael F Moran; Bin Ma
Journal:  Mol Cell Proteomics       Date:  2019-06-27       Impact factor: 5.911

8.  DART-ID increases single-cell proteome coverage.

Authors:  Albert Tian Chen; Alexander Franks; Nikolai Slavov
Journal:  PLoS Comput Biol       Date:  2019-07-01       Impact factor: 4.475

9.  Improved de novo peptide sequencing using LC retention time information.

Authors:  Yves Frank; Tomas Hruz; Thomas Tschager; Valentin Venzin
Journal:  Algorithms Mol Biol       Date:  2018-08-29       Impact factor: 1.405

10.  Visualization and application of amino acid retention coefficients obtained from modeling of peptide retention.

Authors:  Yassene Mohammed; Magnus Palmblad
Journal:  J Sep Sci       Date:  2018-09-04       Impact factor: 3.645

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