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Updated: Jul 12, 2026

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)
Published on: March 14, 2013
Method for screening and MALDI-TOF MS sequencing of encoded combinatorial libraries.
Bi-Huang Hu1, Marsha Ritter Jones, Phillip B Messersmith
1Biomedical Engineering Department, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208, USA.
A new method enables efficient synthesis, screening, and sequencing of peptide libraries. This approach reveals new insights into enzyme substrates and identifies highly specific peptide sequences.
Area of Science:
- Biochemistry
- Organic Chemistry
- Molecular Biology
Background:
- Combinatorial peptide libraries are crucial for drug discovery and biochemical research.
- Efficient synthesis, screening, and sequencing methods are needed to accelerate the analysis of these libraries.
Purpose of the Study:
- To develop a novel method for encoded synthesis, on-resin screening, and sequencing of combinatorial peptide libraries.
- To apply this method to study transglutaminase (TGase) enzyme substrates and identify novel peptide sequences.
Main Methods:
- An improved binary tag system was used for encoded synthesis of peptide libraries.
- A versatile on-resin screening strategy involving magnetic separation and flow-cytometry-based sorting was developed.
- Sequencing was performed using MALDI-TOF MS analysis.
Main Results:
- The method was demonstrated on two libraries, identifying TGase-reactive peptides.
- A peptide sequence (PQQQYV) with 68-fold greater substrate specificity than known substrates was discovered.
- New details on the effect of amino acid composition on TGase substrates were revealed.
Conclusions:
- The developed method provides efficient and unambiguous analysis of combinatorial peptide libraries.
- This approach is broadly applicable for future peptide library synthesis and screening.
- The findings advance the understanding of enzyme-substrate interactions and peptide design.
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