Liquid Chromatography at Critical Conditions: Comprehensive Approach to Sequence-Dependent Retention Time Prediction-Reference-Cited by-同舟云学术

Liquid Chromatography at Critical Conditions: Comprehensive Approach to Sequence-Dependent Retention Time Prediction

Published:2006-10-21 Issue:22 Volume:78 Page:7770-7777
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Gorshkov Alexander V.¹,Tarasova Irina A.¹,Evreinov Victor V.¹,Savitski Mikhail M.¹,Nielsen Michael L.¹,Zubarev Roman A.¹,Gorshkov Mikhail V.¹

Affiliation:

1. Institute for Energy Problems of Chemical Physics, Russian Academy of Sciences, Leninsky Prosp. 38, bld.2, Moscow 119334, Russian Federation, N.N. Semenov's Institute of Chemical Physics, Russian Academy of Sciences, Kosygina 4, Moscow 119991, Russian Federation, and Biological and Medical Center, Laboratory for Biological and Medical Mass Spectrometry, Uppsala University, Box 583, S-75 123 Uppsala, Sweden

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ac060913x

Reference30 articles.

Cited by 72 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ultrafast Proteomics;Biochemistry (Moscow);2024-08

2. Rescoring Peptide Spectrum Matches: Boosting Proteomics Performance by Integrating Peptide Property Predictors Into Peptide Identification;Molecular & Cellular Proteomics;2024-07

3. Critical conditions for liquid chromatography of statistical polyolefins: Evaluation of diene distribution in EPDM terpolymers;Analytica Chimica Acta;2023-03

4. Chromatographic behaviour of peptides modified with amine-reacting tags for relative protein quantitation in proteomic applications;Journal of Chromatography A;2022-08

5. Deep learning approaches for data-independent acquisition proteomics;Expert Review of Proteomics;2021-12-02