Computational design and engineering of self-assembling multivalent microproteins with therapeutic potential against SARS-CoV-2

Abstract Multivalent drugs targeting homo-oligomeric viral surface proteins, such as the SARS-CoV-2 trimeric spike (S) protein, have the potential to elicit more potent and broad-spectrum therapeutic responses than monovalent drugs by synergistically engaging multiple binding sites on viral targets....

Full description

Bibliographic Details
Main Authors: Qin Qin, Xinyi Jiang, Liyun Huo, Jiaqiang Qian, Hongyuan Yu, Haixia Zhu, Wenhao Du, Yuhui Cao, Xing Zhang, Qiang Huang
Format: Article
Language:English
Published: BMC 2024-02-01
Series:Journal of Nanobiotechnology
Subjects:
Online Access:https://doi.org/10.1186/s12951-024-02329-3
_version_ 1797273415651950592
author Qin Qin
Xinyi Jiang
Liyun Huo
Jiaqiang Qian
Hongyuan Yu
Haixia Zhu
Wenhao Du
Yuhui Cao
Xing Zhang
Qiang Huang
author_facet Qin Qin
Xinyi Jiang
Liyun Huo
Jiaqiang Qian
Hongyuan Yu
Haixia Zhu
Wenhao Du
Yuhui Cao
Xing Zhang
Qiang Huang
author_sort Qin Qin
collection DOAJ
description Abstract Multivalent drugs targeting homo-oligomeric viral surface proteins, such as the SARS-CoV-2 trimeric spike (S) protein, have the potential to elicit more potent and broad-spectrum therapeutic responses than monovalent drugs by synergistically engaging multiple binding sites on viral targets. However, rational design and engineering of nanoscale multivalent protein drugs are still lacking. Here, we developed a computational approach to engineer self-assembling trivalent microproteins that simultaneously bind to the three receptor binding domains (RBDs) of the S protein. This approach involves four steps: structure-guided linker design, molecular simulation evaluation of self-assembly, experimental validation of self-assembly state, and functional testing. Using this approach, we first designed trivalent constructs of the microprotein miniACE2 (MP) with different trimerization scaffolds and linkers, and found that one of the constructs (MP-5ff) showed high trimerization efficiency, good conformational homogeneity, and strong antiviral neutralizing activity. With its trimerization unit (5ff), we then engineered a trivalent nanobody (Tr67) that exhibited potent and broad neutralizing activity against the dominant Omicron variants, including XBB.1 and XBB.1.5. Cryo-EM complex structure confirmed that Tr67 stably binds to all three RBDs of the Omicron S protein in a synergistic form, locking them in the “3-RBD-up” conformation that could block human receptor (ACE2) binding and potentially facilitate immune clearance. Therefore, our approach provides an effective strategy for engineering potent protein drugs against SARS-CoV-2 and other deadly coronaviruses. Graphical Abstract
first_indexed 2024-03-07T14:43:05Z
format Article
id doaj.art-cb4440e424064ccc862abc37f57d7d0d
institution Directory Open Access Journal
issn 1477-3155
language English
last_indexed 2024-03-07T14:43:05Z
publishDate 2024-02-01
publisher BMC
record_format Article
series Journal of Nanobiotechnology
spelling doaj.art-cb4440e424064ccc862abc37f57d7d0d2024-03-05T20:09:49ZengBMCJournal of Nanobiotechnology1477-31552024-02-0122112010.1186/s12951-024-02329-3Computational design and engineering of self-assembling multivalent microproteins with therapeutic potential against SARS-CoV-2Qin Qin0Xinyi Jiang1Liyun Huo2Jiaqiang Qian3Hongyuan Yu4Haixia Zhu5Wenhao Du6Yuhui Cao7Xing Zhang8Qiang Huang9State Key Laboratory of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan UniversityState Key Laboratory of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan UniversityState Key Laboratory of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan UniversityState Key Laboratory of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan UniversityACROBiosystems IncState Key Laboratory of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan UniversityState Key Laboratory of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan UniversityACROBiosystems IncACROBiosystems IncState Key Laboratory of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan UniversityAbstract Multivalent drugs targeting homo-oligomeric viral surface proteins, such as the SARS-CoV-2 trimeric spike (S) protein, have the potential to elicit more potent and broad-spectrum therapeutic responses than monovalent drugs by synergistically engaging multiple binding sites on viral targets. However, rational design and engineering of nanoscale multivalent protein drugs are still lacking. Here, we developed a computational approach to engineer self-assembling trivalent microproteins that simultaneously bind to the three receptor binding domains (RBDs) of the S protein. This approach involves four steps: structure-guided linker design, molecular simulation evaluation of self-assembly, experimental validation of self-assembly state, and functional testing. Using this approach, we first designed trivalent constructs of the microprotein miniACE2 (MP) with different trimerization scaffolds and linkers, and found that one of the constructs (MP-5ff) showed high trimerization efficiency, good conformational homogeneity, and strong antiviral neutralizing activity. With its trimerization unit (5ff), we then engineered a trivalent nanobody (Tr67) that exhibited potent and broad neutralizing activity against the dominant Omicron variants, including XBB.1 and XBB.1.5. Cryo-EM complex structure confirmed that Tr67 stably binds to all three RBDs of the Omicron S protein in a synergistic form, locking them in the “3-RBD-up” conformation that could block human receptor (ACE2) binding and potentially facilitate immune clearance. Therefore, our approach provides an effective strategy for engineering potent protein drugs against SARS-CoV-2 and other deadly coronaviruses. Graphical Abstracthttps://doi.org/10.1186/s12951-024-02329-3SARS-CoV-2Protein therapeuticsMicroproteinNanobodyComputational designCryo-EM
spellingShingle Qin Qin
Xinyi Jiang
Liyun Huo
Jiaqiang Qian
Hongyuan Yu
Haixia Zhu
Wenhao Du
Yuhui Cao
Xing Zhang
Qiang Huang
Computational design and engineering of self-assembling multivalent microproteins with therapeutic potential against SARS-CoV-2
Journal of Nanobiotechnology
SARS-CoV-2
Protein therapeutics
Microprotein
Nanobody
Computational design
Cryo-EM
title Computational design and engineering of self-assembling multivalent microproteins with therapeutic potential against SARS-CoV-2
title_full Computational design and engineering of self-assembling multivalent microproteins with therapeutic potential against SARS-CoV-2
title_fullStr Computational design and engineering of self-assembling multivalent microproteins with therapeutic potential against SARS-CoV-2
title_full_unstemmed Computational design and engineering of self-assembling multivalent microproteins with therapeutic potential against SARS-CoV-2
title_short Computational design and engineering of self-assembling multivalent microproteins with therapeutic potential against SARS-CoV-2
title_sort computational design and engineering of self assembling multivalent microproteins with therapeutic potential against sars cov 2
topic SARS-CoV-2
Protein therapeutics
Microprotein
Nanobody
Computational design
Cryo-EM
url https://doi.org/10.1186/s12951-024-02329-3
work_keys_str_mv AT qinqin computationaldesignandengineeringofselfassemblingmultivalentmicroproteinswiththerapeuticpotentialagainstsarscov2
AT xinyijiang computationaldesignandengineeringofselfassemblingmultivalentmicroproteinswiththerapeuticpotentialagainstsarscov2
AT liyunhuo computationaldesignandengineeringofselfassemblingmultivalentmicroproteinswiththerapeuticpotentialagainstsarscov2
AT jiaqiangqian computationaldesignandengineeringofselfassemblingmultivalentmicroproteinswiththerapeuticpotentialagainstsarscov2
AT hongyuanyu computationaldesignandengineeringofselfassemblingmultivalentmicroproteinswiththerapeuticpotentialagainstsarscov2
AT haixiazhu computationaldesignandengineeringofselfassemblingmultivalentmicroproteinswiththerapeuticpotentialagainstsarscov2
AT wenhaodu computationaldesignandengineeringofselfassemblingmultivalentmicroproteinswiththerapeuticpotentialagainstsarscov2
AT yuhuicao computationaldesignandengineeringofselfassemblingmultivalentmicroproteinswiththerapeuticpotentialagainstsarscov2
AT xingzhang computationaldesignandengineeringofselfassemblingmultivalentmicroproteinswiththerapeuticpotentialagainstsarscov2
AT qianghuang computationaldesignandengineeringofselfassemblingmultivalentmicroproteinswiththerapeuticpotentialagainstsarscov2