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Analysis of Biologics Molecular Descriptors towards Predictive Modelling for Protein Drug Development Using Time-Gated Raman Spectroscopy.

Jaakko ItkonenLeo GhemtioDaniela PellegrinoPia J Jokela Née HeinonenHenri XhaardMarco G Casteleijn
Published in: Pharmaceutics (2022)
Pharmaceutical proteins, compared to small molecular weight drugs, are relatively fragile molecules, thus necessitating monitoring protein unfolding and aggregation during production and post-marketing. Currently, many analytical techniques take offline measurements, which cannot directly assess protein folding during production and unfolding during processing and storage. In addition, several orthogonal techniques are needed during production and market surveillance. In this study, we introduce the use of time-gated Raman spectroscopy to identify molecular descriptors of protein unfolding. Raman spectroscopy can measure the unfolding of proteins in-line and in real-time without labels. Using K-means clustering and PCA analysis, we could correlate local unfolding events with traditional analytical methods. This is the first step toward predictive modeling of unfolding events of proteins during production and storage.
Keyphrases
  • raman spectroscopy
  • protein protein
  • amino acid
  • binding protein
  • public health
  • single molecule
  • health insurance
  • molecular dynamics simulations
  • single cell
  • rna seq
  • drug induced