Nature Communications (Nov 2021)

DeepPhospho accelerates DIA phosphoproteome profiling through in silico library generation

  • Ronghui Lou,
  • Weizhen Liu,
  • Rongjie Li,
  • Shanshan Li,
  • Xuming He,
  • Wenqing Shui

DOI
https://doi.org/10.1038/s41467-021-26979-1
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 15

Abstract

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The coverage and throughput of data-independent acquisition (DIA)-based phosphoproteomics is limited by its dependence on experimental spectral libraries. Here the authors develop a DIA workflow based on in silico spectral libraries generated by a novel deep neural network to expand phosphoproteome coverage.