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Commun Biol June 2023 PMID 37301900

Generalized precursor prediction boosts identification rates and accuracy in mass spectrometry based proteomics.

Aaron M Scott, Christofer Karlsson, Tirthankar Mohanty, Erik Hartman, Suvi T Vaara, Adam Linder, Johan Malmström, Lars Malmström

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Mentions

7
Peak: 6 in Jun 2023
across 2 sources since Jun 2023

Extended reach

15,657
potential audience

Total likes

3

Video views

9

Mentions per month

Jun 2023 – Sep 2023

Where it's discussed

  • X / Twitter6 posts
  • YouTube1 videos

AI synopsis

What people are saying

Throughout the discussions, participants use terms like 'boosts identification rates', 'accuracy', and mention specific applications such as blood biomarkers for septic kidney injury, demonstrating both support and curiosity. The tone suggests a recognition of the method’s promising potential, using words like 'improves', 'reliable', and 'significantly' to convey its importance and possible transformative effect on mass spectrometry proteomics.

AgreementModerate agreement

Most discussions are supportive, highlighting the positive impact of the new method on proteomics research, indicating general agreement with the publication's findings.

InterestModerate interest

Comments suggest moderate interest, often emphasizing potential applications and technological advancements without deep technical dives.

EngagementModerate engagement

The posts reference methods, such as generalized precursor prediction, and mention their implications, showing a thoughtful level of engagement.

ImpactModerate impact

There is a shared view that this approach could significantly enhance identification rates and biomarker discovery, implying a notable impact on the field.

Abstract in brief

  • The text discusses a new method called Generalized Precursor Scoring (GPS) that improves the accuracy and number of protein identifications in mass spectrometry-based proteomics, particularly for blood biomarker discovery.
  • GPS has been trained on a massive dataset of 275 million precursors and can reliably control false discovery rates (FDR) while increasing protein detection, regardless of the search space size.
  • The method was applied to identify blood-based biomarkers for septic acute kidney injury, successfully distinguishing subphenotypes and demonstrating its utility in real-world proteomics research.
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Top posts

Most liked on X and Bluesky
Pastel BioScience
@PastelBio · X

Generalized precursor prediction boosts identification rates and accuracy in mass spectrometry based proteomics | https://t.co/1Dq2cX2hRT #proteomics https://t.co/eRCTUzdZfe

Jun 11, 2023 · 2 likes · 5,377 followers View post →
Paul Lopez
@lopezunwired · X

Generalized precursor prediction boosts identification rates and accuracy in mass spectrometry based proteomics #MachineLearning #NatureJournal #AI https://t.co/ihW7Y7GEHT https://t.co/D8ppYjMgk1

Jun 10, 2023 · 1 like · 2,478 followers View post →
BioMassSpec
@realBioMassSpec · X

Generalized precursor prediction boosts identification rates and accuracy in mass spectrometry based proteomics #CommunBiol https://t.co/J5ez66sPxK

Jun 11, 2023 · 1 share · 5,995 followers View post →
Reluctant Quant
@DrMattCrowson · X

RT Generalized precursor prediction boosts identification rates and accuracy in mass spectrometry based proteomics https://t.co/HlpqLCb4lr https://t.co/45TfAvSue3

Jun 10, 2023 · 1,260 followers View post →
Proteomics Papers
@pmxpapers · X

Generalized precursor prediction boosts identification rates and accuracy in mass spectrometry based proteomics https://t.co/BAIkJb3HIn https://t.co/unTuWNmrwa

Jun 11, 2023 · 513 followers View post →
Dapeng Chen
@CharlieSaid3 · X

RT @realBioMassSpec: Generalized precursor prediction boosts identification rates and accuracy in mass spectrometry based proteomics #Commu…

Jun 11, 2023 · 1 share · 21 followers View post →

All mentions

Dapeng Chen
@CharlieSaid3 · X

RT @realBioMassSpec: Generalized precursor prediction boosts identification rates and accuracy in mass spectrometry based proteomics #Commu…

Jun 11, 2023 · 1 share · 21 followers View post →
Pastel BioScience
@PastelBio · X

Generalized precursor prediction boosts identification rates and accuracy in mass spectrometry based proteomics | https://t.co/1Dq2cX2hRT #proteomics https://t.co/eRCTUzdZfe

Jun 11, 2023 · 2 likes · 5,377 followers View post →
BioMassSpec
@realBioMassSpec · X

Generalized precursor prediction boosts identification rates and accuracy in mass spectrometry based proteomics #CommunBiol https://t.co/J5ez66sPxK

Jun 11, 2023 · 1 share · 5,995 followers View post →
Proteomics Papers
@pmxpapers · X

Generalized precursor prediction boosts identification rates and accuracy in mass spectrometry based proteomics https://t.co/BAIkJb3HIn https://t.co/unTuWNmrwa

Jun 11, 2023 · 513 followers View post →
Paul Lopez
@lopezunwired · X

Generalized precursor prediction boosts identification rates and accuracy in mass spectrometry based proteomics #MachineLearning #NatureJournal #AI https://t.co/ihW7Y7GEHT https://t.co/D8ppYjMgk1

Jun 10, 2023 · 1 like · 2,478 followers View post →
Reluctant Quant
@DrMattCrowson · X

RT Generalized precursor prediction boosts identification rates and accuracy in mass spectrometry based proteomics https://t.co/HlpqLCb4lr https://t.co/45TfAvSue3

Jun 10, 2023 · 1,260 followers View post →