Host cell protein quantitation by LC-MS. Experimental demonstration, qualification, and comparison of methods in USP 1132.1

This publication has 19 references indexed in Scilit:

• Decoding the impact of neighboring amino acids on ESI-MS intensity output through deep learning
  Journal of Proteomics, 2024
• Insight on physicochemical properties governing peptide MS1 response in HPLC-ESI-MS/MS: A deep learning approach
  Computational and Structural Biotechnology Journal, 2023
• Monitoring process-related impurities in biologics–host cell protein analysis
  Analytical and Bioanalytical Chemistry, 2021
• “High‐risk” host cell proteins (HCPs): A multi‐company collaborative view
  Biotechnology and Bioengineering, 2021
• Experience with host cell protein impurities in biopharmaceuticals
  Biotechnology Progress, 2018
• Host cell proteins in biotechnology‐derived products: A risk assessment framework
  Biotechnology and Bioengineering, 2015
• Processing strategies and software solutions for data‐independent acquisition in mass spectrometry
  Proteomics, 2014
• Influence of hydrophobicity on positive‐ and negative‐ion yields of peptides in electrospray ionization mass spectrometry
  Rapid Communications in Mass Spectrometry, 2014
• Host cell proteins in biologics development: Identification, quantitation and risk assessment
  Biotechnology and Bioengineering, 2009
• An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database
  Journal of the American Society for Mass Spectrometry, 1994