Detalhe da pesquisa
1.
Updated MS²PIP web server supports cutting-edge proteomics applications.
Nucleic Acids Res
; 51(W1): W338-W342, 2023 07 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-37140039
2.
Intensity and retention time prediction improves the rescoring of protein-nucleic acid cross-links.
Proteomics
; 24(8): e2300144, 2024 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-38629965
3.
MS2Rescore 3.0 Is a Modular, Flexible, and User-Friendly Platform to Boost Peptide Identifications, as Showcased with MS Amanda 3.0.
J Proteome Res
; 2024 Mar 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-38491990
4.
DeepLC can predict retention times for peptides that carry as-yet unseen modifications.
Nat Methods
; 18(11): 1363-1369, 2021 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-34711972
5.
MS2Rescore: Data-Driven Rescoring Dramatically Boosts Immunopeptide Identification Rates.
Mol Cell Proteomics
; 21(8): 100266, 2022 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-35803561
6.
psm_utils: A High-Level Python API for Parsing and Handling Peptide-Spectrum Matches and Proteomics Search Results.
J Proteome Res
; 22(2): 557-560, 2023 02 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36508242
7.
Toward an Integrated Machine Learning Model of a Proteomics Experiment.
J Proteome Res
; 22(3): 681-696, 2023 03 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36744821
8.
Spectral Prediction Features as a Solution for the Search Space Size Problem in Proteogenomics.
Mol Cell Proteomics
; 20: 100076, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-33823297
9.
Interpretation of the DOME Recommendations for Machine Learning in Proteomics and Metabolomics.
J Proteome Res
; 21(4): 1204-1207, 2022 04 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35119864
10.
Personalized Proteome: Comparing Proteogenomics and Open Variant Search Approaches for Single Amino Acid Variant Detection.
J Proteome Res
; 20(6): 3353-3364, 2021 06 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-33998808
11.
Updated MS²PIP web server delivers fast and accurate MS² peak intensity prediction for multiple fragmentation methods, instruments and labeling techniques.
Nucleic Acids Res
; 47(W1): W295-W299, 2019 07 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-31028400
12.
The Age of Data-Driven Proteomics: How Machine Learning Enables Novel Workflows.
Proteomics
; 20(21-22): e1900351, 2020 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-32267083
13.
Removing the Hidden Data Dependency of DIA with Predicted Spectral Libraries.
Proteomics
; 20(3-4): e1900306, 2020 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-31981311
14.
Generalized Calibration Across Liquid Chromatography Setups for Generic Prediction of Small-Molecule Retention Times.
Anal Chem
; 92(9): 6571-6578, 2020 05 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-32281370
15.
Accurate peptide fragmentation predictions allow data driven approaches to replace and improve upon proteomics search engine scoring functions.
Bioinformatics
; 35(24): 5243-5248, 2019 12 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-31077310
16.
Comprehensive and Empirical Evaluation of Machine Learning Algorithms for Small Molecule LC Retention Time Prediction.
Anal Chem
; 91(5): 3694-3703, 2019 03 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-30702864
17.
Data-Driven Rescoring of Metabolite Annotations Significantly Improves Sensitivity.
Anal Chem
; 90(19): 11636-11642, 2018 10 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-30188119
18.
MAPPI-DAT: data management and analysis for protein-protein interaction data from the high-throughput MAPPIT cell microarray platform.
Bioinformatics
; 33(9): 1424-1425, 2017 05 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-28453684
19.
MS2PIP prediction server: compute and visualize MS2 peak intensity predictions for CID and HCD fragmentation.
Nucleic Acids Res
; 43(W1): W326-30, 2015 Jul 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-25990723
20.
A Pipeline for Differential Proteomics in Unsequenced Species.
J Proteome Res
; 15(6): 1963-70, 2016 06 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-27089233