Method for de novo sequencing of a monoclonal antibody and use thereof
By optimizing the enzymatic digestion and mass spectrometry detection process through monoclonal antibody de novo sequencing, the problem of insufficient accuracy in protein identification of deep learning de novo sequencing methods has been solved, enabling rapid and accurate antibody quality evaluation and detection, and promoting the development of antibody product quality evaluation systems.
Patent Information
- Application Number
- CN202311663435.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-12-06
- Publication Date
- 2026-07-24
- Estimated Expiration
- 2043-12-06
AI Technical Summary
Existing deep learning-based de novo sequencing methods have limitations in protein identification accuracy and cannot fully utilize the information in tandem mass spectrometry, thus limiting the identification accuracy of protein de novo sequencing.
A monoclonal antibody de novo sequencing method was used to prepare peptide samples through denaturation, reduction, alkylation, and multiple enzymatic digestion steps. High-performance liquid chromatography and mass spectrometry were combined with de novo sequencing software for analysis, and peptide sequences were reassembled. The enzymatic digestion process was optimized to improve detection efficiency and accuracy.
It significantly shortens mass spectrometry detection time, increases the detection rate of mutant antibodies from 90% to 99%, simplifies the quality evaluation and testing of antibody reagents, shortens the time, and lays the foundation for the quality evaluation system of antibody and antigen products.