Connection

JONATHAN LEI to Phosphorylation

This is a "connection" page, showing publications JONATHAN LEI has written about Phosphorylation.
Connection Strength

0.225
  1. DeepMVP: deep learning models trained on high-quality data accurately predict PTM sites and variant-induced alterations. Nat Methods. 2025 Sep; 22(9):1857-1867.
    View in: PubMed
    Score: 0.045
  2. Comprehensive evaluation of phosphoproteomic-based kinase activity inference. Nat Commun. 2025 May 22; 16(1):4771.
    View in: PubMed
    Score: 0.045
  3. Deep Learning Prediction Boosts Phosphoproteomics-Based Discoveries Through Improved Phosphopeptide Identification. Mol Cell Proteomics. 2024 Feb; 23(2):100707.
    View in: PubMed
    Score: 0.040
  4. A proteogenomic portrait of lung squamous cell carcinoma. Cell. 2021 08 05; 184(16):4348-4371.e40.
    View in: PubMed
    Score: 0.034
  5. Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy. Cell. 2020 11 25; 183(5):1436-1456.e31.
    View in: PubMed
    Score: 0.033
  6. DPYSL3 modulates mitosis, migration, and epithelial-to-mesenchymal transition in claudin-low breast cancer. Proc Natl Acad Sci U S A. 2018 12 18; 115(51):E11978-E11987.
    View in: PubMed
    Score: 0.028
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.