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Update in Proteomics mass spectrometry #1029

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aky opened this issue Jan 17, 2022 · 2 comments
Open

Update in Proteomics mass spectrometry #1029

aky opened this issue Jan 17, 2022 · 2 comments

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@aky
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aky commented Jan 17, 2022

Many papers on mass-spectrometry based proteomics have shown the use of deep learning for intensity prediction, combining scores across search algorithms, retention time, collision corss section prediction etc. It is an exciting area that may be covered in the v2.0 of the draft. Some of the papers and reviews (not comprehensive) are listed below-

  • @doi:10.1016/j.crmeth.2021.100003 (Deep learning neural network tools for proteomics)
  • @doi: 10.1074/mcp.TIR119.001412 (Prediction of LC-MS/MS Properties of Peptides from Sequence by Deep Learning)
  • @doi: 10.1038/s41467-019-13866-z (In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics)
  • @doi: 10.1080/14789450.2021.2020654 (Deep learning approaches for data-independent acquisition proteomics)
  • @doi: 10.1093/bioinformatics/btab311 (On the feasibility of deep learning applications using raw mass spectrometry data)
  • @doi: 10.1038/s41592-018-0260-3 (Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry)
  • @doi: 10.1038/nbt.4313 (Deep learning using tumor HLA peptide mass spectrometry datasets improves neoantigen identification)
  • @doi: 10.1038/s41592-019-0426-7 (Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning)
  • @doi: 10.1093/bioinformatics/btx724 (Deep learning for tumor classification in imaging mass spectrometry)
  • @doi: 10.1002/pmic.201900334 (DeepRescore: Leveraging Deep Learning to Improve Peptide Identification in Immunopeptidomics)
  • @doi: 10.1002/pmic.202000009 (Using Deep Learning to Extrapolate Protein Expression Measurements)
  • @doi: 10.1007/978-3-030-29726-8_19 (Book chapter- Deep Learning for Proteomics Data for Feature Selection and Classification)
  • @doi:10.1002/pmic.201900335 (review- Deep Learning in Proteomics)
@agitter
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agitter commented Jan 17, 2022

Thanks for cataloging and sharing these @aky.

Before you or anyone else draft new text on this topic, I recommend finding potential pull request reviewers here. Now that the project activity slowed, some pull requests stalled because they were not reviewed in a timely manner and the content became stale.

@aky
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aky commented Jan 17, 2022

I can draft this topic, but I have no clue as to how to find (or approach) pull request reviewers

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