De Novo Sequencing of Synthetic Bis -cysteine Peptide Macrocycles Enabled by “Chemical Linearization” of Compound Mixtures

peer-reviewed · Analytical Chemistry · 2023

peer-reviewed · Analytical Chemistry · 2023. Zhi’ang Chen et al. A “chemical linearization” approach was applied to synthetic peptide macrocycles to enable their de novo…
Date 2023-10-10
Type peer-reviewed
Venue Analytical Chemistry
Publisher American Chemical Society (ACS)
Contribution adjacent
DOI 10.1021/acs.analchem.3c01742
Citations (OpenAlex) 5
Venue 2-year citedness 7.10

Abstract

A “chemical linearization” approach was applied to synthetic peptide macrocycles to enable their de novo sequencing from mixtures using nanoliquid chromatography-tandem mass spectrometry (nLC-MS/MS). This approach─previously applied to individual macrocycles but not to mixtures─involves cleavage of the peptide backbone at a defined position to give a product capable of generating sequence-determining fragment ions. Here, we first established the compatibility of “chemical linearization” by Edman degradation with a prominent macrocycle scaffold based on bis -Cys peptides cross-linked with the m -xylene linker, which are of major significance in therapeutics discovery. Then, using macrocycle libraries of known sequence composition, the ability to recover accurate de novo assignments to linearized products was critically tested using performance metrics unique to mixtures. Significantly, we show that linearized macrocycles can be sequenced with lower recall compared to linear peptides but with similar accuracy, which establishes the potential of using “chemical linearization” with synthetic libraries and selection procedures that yield compound mixtures. Sodiated precursor ions were identified as a significant source of high-scoring but inaccurate assignments, with potential implications for improving automated de novo sequencing more generally.

Authors

  1. Zhi’ang Chen · Agency for Science, Technology and Research, Institute of Molecular and Cell Biology
  2. Yi Wee Lim · Agency for Science, Technology and Research, Institute of Chemical and Engineering Sciences
  3. Jin Yong Neo · Agency for Science, Technology and Research
  4. Rachel Shu Ting Chan · Agency for Science, Technology and Research
  5. Li Quan Koh · Agency for Science, Technology and Research, Institute of Molecular and Cell Biology
  6. Tsz Ying Yuen · Agency for Science, Technology and Research
  7. Yee Hwee Lim · Agency for Science, Technology and Research
  8. Charles W. Johannes · Agency for Science, Technology and Research, Institute of Molecular and Cell Biology
  9. Zachary P. Gates · Agency for Science, Technology and Research, Institute of Chemical and Engineering Sciences, Institute of Molecular and Cell Biology, Massachusetts Institute of Technology

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