Monoclonal antibodies (mAbs) are widely used in research, diagnosis, and pharmaceutical purposes. Lately, the relatively lower quality of research-purpose mAbs is a point of concern within the research community.
In this study, we conducted a large-scale statistical analysis of protein sequencing data from samples digested with multiple proteases to understand the impact of using different combinations of proteases to improve the depth of sequence coverage in the application of de novo protein sequencing.
A Large-Scale Comparison of MS-based Antibody De Novo Protein Sequencing and Targeted DNA Sequencing
The DNA sequences of antibodies are highly diverse due to the V-(D)-J recombination and hypersomatic mutations. As such, relying on homology-based searches to sequence novel antibodies can introduce bias to sequences obtained from proteomics approaches.
In-Depth Characterization of Monoclonal Antibodies with a Single Experiment and Fully Automated Data Analysis
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