In Silico Improvement of Highly Protective Anti-Malarial Antibodies
M. Mateo, P. Tripathi, L. Da Silva Pereira, P. Kiyuka, T. Liu, B. Zhang, Y. Yang, B. G. Bonilla, M. Dillon, M. Lee, C.-H. Shen, A. Schon, S. Kratochvil, F. D. Batista, A. H. Idris, , R. Rawi
The paper improves an anti-malarial antibody using an in silico pipeline, resulting in a variant with higher binding affinity and better malaria protection.
bioRxiv · Apr 8, 2022 · PreprintImmunology