Supernovo is unique in how it determines antibody sequences it mimics the actual biological process of producing antibodies.
The algorithm in silico, converges on a final sequence in an iterative and completely automated process.
The input is raw MS file and the output is the determined sequence with confidence metrics.
By taking de novo sequencing in house, Dragonfly have improved their turn around time, throughput, their depth of information on their mAbs as well as showing impressive cost savings
By using a panel of 9 proteases and dual fragmentation Joost Snijder at Utrecht University were able to get the most accurate sequences and the best depth of coverage whilst optimizing protocols for de novo antibody sequencing