Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
July 31, 2025PROTEOMICS - CLINICAL APPLICATIONSOpen Access

Artificial Intelligence and the Evolving Landscape of Immunopeptidomics

View Full Paper
Ask AI
Bookmark
Share

Authors

TVThanh Hoa VoEMEdel A. McNeelaÓOÓrla O’Donovan

Discussion

Loading...

Member takes

Overview

Review demonstrates how artificial intelligence advances neoantigen discovery in immunopeptidomics, indicating improved peptide identification and immunogenicity prediction.

Key Points

  • Artificial intelligence is critical in enhancing the efficiency of neoantigen discovery within immunopeptidomics.
  • Challenges in mass spectrometry data and immune response variability complicate peptide identification.
  • A case study in breast cancer illustrates AI's potential in revealing immunogenic features of less immunogenic tumors.
  • Advancements in AI models are paving the way for more personalized and effective cancer immunotherapy strategies.

Cite This Study

Vo et al. (2025) studied this question.

synapsesocial.com/papers/689a0c5fe6551bb0af8cf686https://doi.org/10.1002/prca.70018
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1AI-driven neoantigen identification: a comprehensive review from somatic variant calling to T cell recognition2026
  2. 2Immunopeptidomics-guided cancer vaccine design: Advances, challenges, and emerging opportunities2026
  3. 3Artificial intelligence applied in neoantigen identification facilitates personalized cancer immunotherapy2023 · 80 citations
  4. 4Artificial intelligence and neoantigens: paving the path for precision cancer immunotherapy2024 · 11 citations
  5. 5From prediction to precision: how immunopeptidomics advances neoantigen discovery2026 · 6 citations