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Britton D, Punia K, Mahmoudinobar F, Tada T, Jiang X, Renfrew PD, Bonneau R, Landau NR, Kong XP, Montclare JK. Engineered multivalent self-assembled binder protein against SARS-CoV-2 RBD. Biochem Eng J 2022; 187:108596. [PMID: 36034180 PMCID: PMC9396458 DOI: 10.1016/j.bej.2022.108596] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 08/02/2022] [Accepted: 08/17/2022] [Indexed: 02/01/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a global pandemic since December 2019, and with it, a push for innovations in rapid testing and neutralizing antibody treatments in an effort to solve the spread and fatality of the disease. One such solution to both of these prevailing issues is targeting the interaction of SARS-CoV-2 spike receptor binding domain (RBD) with the human angiotensin-converting enzyme 2 (ACE2) receptor protein. Structural studies have shown that the N-terminal alpha-helix comprised of the first 23 residues of ACE2 plays an important role in this interaction. Where it is typical to design a binding domain to fit a target, we have engineered a protein that relies on multivalency rather than the sensitivity of a monomeric ligand to provide avidity to its target by fusing the N-terminal helix of ACE2 to the coiled-coil domain of the cartilage oligomeric matrix protein. The resulting ACE-MAP is able to bind to the SARS-CoV-2 RBD with improved binding affinity, is expressible in E. coli, and is thermally stable and relatively small (62 kDa). These properties suggest ACE-MAP and the MAP scaffold to be a promising route towards developing future diagnostics and therapeutics to SARS-CoV-2.
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Affiliation(s)
- Dustin Britton
- Department of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, USA
| | - Kamia Punia
- Department of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, USA
| | - Farbod Mahmoudinobar
- Department of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, USA
- Center for Computational Biology, Flatiron Institute, New York, New York 10010, USA
| | - Takuya Tada
- Department of Microbiology, NYU, Grossman School of Medicine, New York, New York 10016, USA
| | - Xunqing Jiang
- Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, New York 10016, USA
| | - P Douglas Renfrew
- Center for Computational Biology, Flatiron Institute, New York, New York 10010, USA
| | - Richard Bonneau
- Center for Computational Biology, Flatiron Institute, New York, New York 10010, USA
- Center for Genomics and Systems Biology, New York University, New York, New York 10003, USA
- Courant Institute of Mathematical Sciences, Computer Science Department, New York University, New York, New York 10009, USA
- Center for Data Science, New York University, New York, New York 10011, USA
| | - Nathaniel R Landau
- Department of Microbiology, NYU, Grossman School of Medicine, New York, New York 10016, USA
| | - Xiang-Peng Kong
- Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, New York 10016, USA
| | - Jin Kim Montclare
- Department of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, USA
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York 10016, USA
- Department of Chemistry, New York University, New York, New York 10012, USA
- Department of Biomaterials, New York University College of Dentistry, New York, New York 10010, USA
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Dooling L, Tirrell DA. Engineering the Dynamic Properties of Protein Networks through Sequence Variation. ACS CENTRAL SCIENCE 2016; 2:812-819. [PMID: 27924309 PMCID: PMC5126713 DOI: 10.1021/acscentsci.6b00205] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2016] [Indexed: 05/29/2023]
Abstract
The dynamic behavior of macromolecular networks dominates the mechanical properties of soft materials and influences biological processes at multiple length scales. In hydrogels prepared from self-assembling artificial proteins, stress relaxation and energy dissipation arise from the transient character of physical network junctions. Here we show that subtle changes in sequence can be used to program the relaxation behavior of end-linked networks of engineered coiled-coil proteins. Single-site substitutions in the coiled-coil domains caused shifts in relaxation time over 5 orders of magnitude as demonstrated by dynamic oscillatory shear rheometry and stress relaxation measurements. Networks with multiple relaxation time scales were also engineered. This work demonstrates how time-dependent mechanical responses of macromolecular materials can be encoded in genetic information.
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Affiliation(s)
- Lawrence
J. Dooling
- Division
of Chemistry and
Chemical Engineering, California Institute
of Technology, 1200 East
California Boulevard, Pasadena, California 91125, United States
| | - David A. Tirrell
- Division
of Chemistry and
Chemical Engineering, California Institute
of Technology, 1200 East
California Boulevard, Pasadena, California 91125, United States
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