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In Silico Improvement of Highly Protective Anti-Malarial Antibodies

Mateo Reveiz, Prabhanshu Tripathi, Lais Da Silva Pereira, Patience Kiyuka, Tracy Liu, Baoshan Zhang, Yongping Yang, Brian G. Bonilla, Marlon Dillon, Myungjin Lee, Chen-Hsiang Shen, Arne Schön, Sven Kratochvil, Facundo D. Batista, Azza H. Idris, Robert A. Seder, Peter D. Kwong, Reda Rawi
doi: https://doi.org/10.1101/2022.04.08.487687
Mateo Reveiz
1Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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Prabhanshu Tripathi
1Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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Lais Da Silva Pereira
1Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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Patience Kiyuka
1Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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Tracy Liu
1Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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Baoshan Zhang
1Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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Yongping Yang
1Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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Brian G. Bonilla
1Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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Marlon Dillon
1Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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Myungjin Lee
1Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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Chen-Hsiang Shen
1Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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Arne Schön
2Department of Biology, Johns Hopkins University, Baltimore, MD, United States of America
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Sven Kratochvil
3The Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
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Facundo D. Batista
3The Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
4Department of Immunology, Harvard Medical School, Boston, MA, USA; Department of Microbiology, Harvard Medical School, Boston, MA, USA
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Azza H. Idris
1Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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Robert A. Seder
1Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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  • For correspondence: rseder@mail.nih.gov pdkwong@nih.gov reda.rawi@nih.gov
Peter D. Kwong
1Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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  • For correspondence: rseder@mail.nih.gov pdkwong@nih.gov reda.rawi@nih.gov
Reda Rawi
1Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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  • For correspondence: rseder@mail.nih.gov pdkwong@nih.gov reda.rawi@nih.gov
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SUMMARY

Antibody CIS43 binds Plasmodium falciparum circumsporozoite protein (PfCSP) and protects against malaria, as recently demonstrated clinically. To improve the efficacy of CIS43, we developed an in silico pipeline to optimize the interaction energy of CIS43 to its junctional epitope (peptide 21: PfCSP residues 101-115). Starting from two improved CIS43 variants, recently elicited from a CIS43-germline knock-in mice, single and double amino acid substitutions in the peptide 21-proximal heavy (VH) and light (VL) variable regions were introduced. CIS43-variants, selected on the basis of improved in silico interface and stability energies, showed increased affinity to peptide 21 and superior malaria-protective efficacy. The best designed variant, antibody P3-43, was significantly more protective than its template antibody m43.151, with greater liver-burden protection than the current best-in-class (antibody iGL-CIS43.D3). Crystal structures of improved antibodies revealed atomic-level interactions explaining gains in binding affinity. The reported pipeline provides a powerful in silico approach to improve antibody functionality.

Competing Interest Statement

S.K., P.T., R.R., M.R., P.D.K., R.A.S. and F.D.B. have submitted a US Provisional Patent Application describing improved CIS43 antibodies (filed November 5, 2021). R.A.S. and A.H.I. hold patents on CIS43 (International Application No. PCT/US2018/017826; US Patent Application No. 16/485,354; issued June 1, 2021).

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license.
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Posted April 09, 2022.
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In Silico Improvement of Highly Protective Anti-Malarial Antibodies
Mateo Reveiz, Prabhanshu Tripathi, Lais Da Silva Pereira, Patience Kiyuka, Tracy Liu, Baoshan Zhang, Yongping Yang, Brian G. Bonilla, Marlon Dillon, Myungjin Lee, Chen-Hsiang Shen, Arne Schön, Sven Kratochvil, Facundo D. Batista, Azza H. Idris, Robert A. Seder, Peter D. Kwong, Reda Rawi
bioRxiv 2022.04.08.487687; doi: https://doi.org/10.1101/2022.04.08.487687
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In Silico Improvement of Highly Protective Anti-Malarial Antibodies
Mateo Reveiz, Prabhanshu Tripathi, Lais Da Silva Pereira, Patience Kiyuka, Tracy Liu, Baoshan Zhang, Yongping Yang, Brian G. Bonilla, Marlon Dillon, Myungjin Lee, Chen-Hsiang Shen, Arne Schön, Sven Kratochvil, Facundo D. Batista, Azza H. Idris, Robert A. Seder, Peter D. Kwong, Reda Rawi
bioRxiv 2022.04.08.487687; doi: https://doi.org/10.1101/2022.04.08.487687

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