To develop robust mAb biologics, it is vital to fully characterize the protein, including its primary sequence, mutations, and important post-translational modifications
To develop robust mAb biologics, it is vital to fully characterize the protein, including its primary sequence, mutations, and important post-translational modifications
To develop robust mAb biologics, it is vital to fully characterize the protein, including its primary sequence, mutations, and important post-translational modifications
To develop robust mAb biologics, it is vital to fully characterize the protein, including its primary sequence, mutations, and important post-translational modifications
To develop robust mAb biologics, it is vital to fully characterize the protein, including its primary sequence, mutations, and important post-translational modifications
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.
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.
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.