Efficient encoding of large antigenic spaces by epitope prioritization with Dolphyn
A.-M. Liebhoff, T. Venkataraman, W. R. Morgenlander, M. Na, T. Kula, K. Waugh, C. Morrison, M. Rewers, R. Longman, J. Round, S. Elledge, I. Ruczinski, B. Langmead, H. B. Larman
The paper develops Dolphyn, a machine learning method to improve PhIP-Seq by prioritizing epitopes, increasing antibody-bound peptides from 10% to 31% and reducing synthesized peptides by 78%.
bioRxiv · Jul 30, 2023Bioengineering