153 related articles for article (PubMed ID: 36008611)
1. Prediction of peptide mass spectral libraries with machine learning.
Cox J
Nat Biotechnol; 2023 Jan; 41(1):33-43. PubMed ID: 36008611
[TBL] [Abstract][Full Text] [Related]
2. Merging Full-Spectrum and Fragment Ion Intensity Predictions from Deep Learning for High-Quality Spectral Libraries.
Chan CMJ; Lam H
J Proteome Res; 2023 Dec; 22(12):3692-3702. PubMed ID: 37910637
[TBL] [Abstract][Full Text] [Related]
3. [Research progress and application of retention time prediction method based on deep learning].
DU Z; Shao W; Qin W
Se Pu; 2021 Mar; 39(3):211-218. PubMed ID: 34227303
[TBL] [Abstract][Full Text] [Related]
4. Sensitive Immunopeptidomics by Leveraging Available Large-Scale Multi-HLA Spectral Libraries, Data-Independent Acquisition, and MS/MS Prediction.
Pak H; Michaux J; Huber F; Chong C; Stevenson BJ; Müller M; Coukos G; Bassani-Sternberg M
Mol Cell Proteomics; 2021; 20():100080. PubMed ID: 33845167
[TBL] [Abstract][Full Text] [Related]
5. HMMatch: peptide identification by spectral matching of tandem mass spectra using hidden Markov models.
Wu X; Tseng CW; Edwards N
J Comput Biol; 2007 Oct; 14(8):1025-43. PubMed ID: 17985986
[TBL] [Abstract][Full Text] [Related]
6. Mistle: bringing spectral library predictions to metaproteomics with an efficient search index.
Nowatzky Y; Benner P; Reinert K; Muth T
Bioinformatics; 2023 Jun; 39(6):. PubMed ID: 37294786
[TBL] [Abstract][Full Text] [Related]
7. Building and searching tandem mass (MS/MS) spectral libraries for peptide identification in proteomics.
Lam H; Aebersold R
Methods; 2011 Aug; 54(4):424-31. PubMed ID: 21277371
[TBL] [Abstract][Full Text] [Related]
8. AIomics: Exploring More of the Proteome Using Mass Spectral Libraries Extended by Artificial Intelligence.
Geer LY; Lapin J; Slotta DJ; Mak TD; Stein SE
J Proteome Res; 2023 Jul; 22(7):2246-2255. PubMed ID: 37232537
[TBL] [Abstract][Full Text] [Related]
9. MS2CNN: predicting MS/MS spectrum based on protein sequence using deep convolutional neural networks.
Lin YM; Chen CT; Chang JM
BMC Genomics; 2019 Dec; 20(Suppl 9):906. PubMed ID: 31874640
[TBL] [Abstract][Full Text] [Related]
10. Reproducibility, Specificity and Accuracy of Relative Quantification Using Spectral Library-based Data-independent Acquisition.
Barkovits K; Pacharra S; Pfeiffer K; Steinbach S; Eisenacher M; Marcus K; Uszkoreit J
Mol Cell Proteomics; 2020 Jan; 19(1):181-197. PubMed ID: 31699904
[TBL] [Abstract][Full Text] [Related]
11. Semisupervised Machine Learning for Sensitive Open Modification Spectral Library Searching.
Arab I; Fondrie WE; Laukens K; Bittremieux W
J Proteome Res; 2023 Feb; 22(2):585-593. PubMed ID: 36688569
[TBL] [Abstract][Full Text] [Related]
12. A Hybrid Spectral Library and Protein Sequence Database Search Strategy for Bottom-Up and Top-Down Proteomic Data Analysis.
Dai Y; Millikin RJ; Rolfs Z; Shortreed MR; Smith LM
J Proteome Res; 2022 Nov; 21(11):2609-2618. PubMed ID: 36206157
[TBL] [Abstract][Full Text] [Related]
13. Spectral library searching in proteomics.
Griss J
Proteomics; 2016 Mar; 16(5):729-40. PubMed ID: 26616598
[TBL] [Abstract][Full Text] [Related]
14. Extending the coverage of spectral libraries: a neighbor-based approach to predicting intensities of peptide fragmentation spectra.
Ji C; Arnold RJ; Sokoloski KJ; Hardy RW; Tang H; Radivojac P
Proteomics; 2013 Mar; 13(5):756-65. PubMed ID: 23303707
[TBL] [Abstract][Full Text] [Related]
15. Updated MS²PIP web server supports cutting-edge proteomics applications.
Declercq A; Bouwmeester R; Chiva C; Sabidó E; Hirschler A; Carapito C; Martens L; Degroeve S; Gabriels R
Nucleic Acids Res; 2023 Jul; 51(W1):W338-W342. PubMed ID: 37140039
[TBL] [Abstract][Full Text] [Related]
16. Building Spectral Libraries from Narrow-Window Data-Independent Acquisition Mass Spectrometry Data.
Heil LR; Fondrie WE; McGann CD; Federation AJ; Noble WS; MacCoss MJ; Keich U
J Proteome Res; 2022 Jun; 21(6):1382-1391. PubMed ID: 35549345
[TBL] [Abstract][Full Text] [Related]
17. Application of spectral library prediction for parallel reaction monitoring of viral peptides.
Grossegesse M; Nitsche A; Schaade L; Doellinger J
Proteomics; 2021 Apr; 21(7-8):e2000226. PubMed ID: 33615696
[TBL] [Abstract][Full Text] [Related]
18. In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics.
Yang Y; Liu X; Shen C; Lin Y; Yang P; Qiao L
Nat Commun; 2020 Jan; 11(1):146. PubMed ID: 31919359
[TBL] [Abstract][Full Text] [Related]
19. Tandem mass spectral libraries of peptides and their roles in proteomics research.
Shao W; Lam H
Mass Spectrom Rev; 2017 Sep; 36(5):634-648. PubMed ID: 27403644
[TBL] [Abstract][Full Text] [Related]
20. A semi-empirical approach for predicting unobserved peptide MS/MS spectra from spectral libraries.
Hu Y; Li Y; Lam H
Proteomics; 2011 Dec; 11(24):4702-11. PubMed ID: 22038894
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]