Kavli Affiliate: Shankar Sundaram
| Authors: Thomas A. Desautels, Kathryn T. Arrildt, Adam T. Zemla, Edmond Y. Lau, Fangqiang Zhu, Dante Ricci, Stephanie Cronin, Seth J. Zost, Elad Binshtein, Suzanne M. Scheaffer, Taylor B. Engdahl, Elaine Chen, John W. Goforth, Denis Vashchenko, Sam Nguyen, Dina R. Weilhammer, Jacky Kai-Yin Lo, Bonnee Rubinfeld, Edwin A. Saada, Tracy Weisenberger, Tek-Hyung Lee, Bradley Whitener, James B. Case, Alexander Ladd, Mary S. Silva, Rebecca M. Haluska, Emilia A. Grzesiak, Thomas W. Bates, Brenden K. Petersen, Larissa B. Thackray, Brent W. Segelke, Antonietta Maria Lillo, Shivshankar Sundaram, Michael S. Diamond, James E. Crowe, Jr., Robert H. Carnahan and Daniel M. Faissol
| Summary:
ABSTRACT The COVID-19 pandemic has highlighted how viral variants that escape monoclonal antibodies can limit options to control an outbreak. With the emergence of the SARS-CoV-2 Omicron variant, many clinically used antibody drug products lost in vitro and in vivo potency, including AZD7442 and its constituent, AZD1061 [VanBlargan2022, Case2022]. Rapidly modifying such antibodies to restore efficacy to emerging variants is a compelling mitigation strategy. We therefore sought to computationally design an antibody that restores neutralization of BA.1 and BA.1.1 while simultaneously maintaining efficacy against SARS-CoV-2 B.1.617.2 (Delta), beginning from COV2-2130, the progenitor of AZD1061. Here we describe COV2-2130 derivatives that achieve this goal and provide a proof-of-concept for rapid antibody adaptation addressing escape variants. Our best antibody achieves potent and broad neutralization of BA.1, BA.1.1, BA.2, BA.2.12.1, BA.4, BA.5, and BA.5.5 Omicron subvariants, where the parental COV2-2130 suffers significant potency losses. This antibody also maintains potency against Delta and WA1/2020 strains and provides protection in vivo against the strains we tested, WA1/2020, BA.1.1, and BA.5. Because our design approach is computational—driven by high-performance computing-enabled simulation, machine learning, structural bioinformatics and multi-objective optimization algorithms—it can rapidly propose redesigned antibody candidates aiming to broadly target multiple escape variants and virus mutations known or predicted to enable escape. Competing Interest Statement M.S.D. is a consultant for Inbios, Vir Biotechnology, Senda Biosciences, Moderna and Immunome. The Diamond laboratory has received unrelated funding support in sponsored research agreements from Moderna, Vir Biotechnology, and Emergent BioSolutions. J.E.C. has served as a consultant for Luna Labs USA, Merck Sharp & Dohme Corporation, Emergent Biosolutions, and GlaxoSmithKline, is a member of the Scientific Advisory Board of Meissa Vaccines, a former member of the Scientific Advisory Board of Gigagen (Grifols) and is founder of IDBiologics. The laboratory of J.E.C. received unrelated sponsored research agreements from AstraZeneca, Takeda, and IDBiologics during the conduct of the study. Lawrence Livermore National Laboratory, Los Alamos National Laboratory, and Vanderbilt University have applied for patents for some of the antibodies in this paper, for which T.A.D, A.T.Z., E.Y.L., F.Z., A.M.L., R.H.C., J.E.C., and D.M.F. are inventors. Vanderbilt University has licensed certain rights to antibodies in this paper to Astra Zeneca.