Methods and compositions for protein and peptide sequencing
By utilizing aptamers that specifically bind to N-terminal amino acids and the SELEX method, combined with artificial intelligence optimization, we have achieved highly efficient protein and peptide sequencing, solving the problem of low efficiency in existing protein sequencing technologies and providing a high-throughput sequencing solution for the dynamic range of proteins.
Patent Information
- Application Number
- CN202080061216.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Priority Date
- 2019-09-13
- Filing Date
- 2020-09-11
- Publication Date
- 2025-11-07
- Estimated Expiration
- 2040-09-11
AI Technical Summary
Existing technologies struggle to efficiently sequence proteins, especially low-expression proteins and non-target proteins, and lack high-throughput sequencing strategies that span the dynamic range of protein expression, making it difficult to infer disease state information from the genome.
Protein sequencing was performed using aptamers that specifically bind to N-terminal amino acids via the SELEX method. The experimental seed conjugates were optimized using artificial intelligence and deep learning. The protein sequences were recorded using DNA barcoding, and efficient sequencing was achieved using PCR amplification and sequencing technologies.
It enables high-throughput, low-cost sequencing of proteins and peptides, allowing for the identification and recording of protein amino acid sequences, inference of the correlation between protein levels and enzymatic activity, and support for disease state monitoring and treatment efficacy evaluation.