An in silico method to assess antibody fragment polyreactivity
E. P. Harvey, J.-E. Shin, M. A. Skiba, G. R. Nemeth, J. D. Hurley, A. Wellner, A. Y. Shaw, V. G. Miranda, J. K. Min, C. C. Liu, D. S. Marks, A. Kruse
The paper develops a machine learning model to assess and reduce polyreactivity in nanobody sequences, achieving high accuracy and practical application through a web server.
bioRxiv · Jan 12, 2022 · PreprintPharmacology & Toxicology