Engineering the Mechanical Stability of a Therapeutic Complex between Affibody and Programmed Death-Ligand 1 by Anchor Point Selection

Byeongseon Yang, Diego E. B. Gomes, Zhaowei Liu, Mariana Sá Santos, Jiajun Li, Rafael C. Bernardi, Michael A. Nash

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Protein-protein complexes can vary in mechanical stability depending on the direction from which force is applied. Here, we investigated the mechanical stability of a complex between a binding scaffold called Affibody and an immune checkpoint protein Programmed Death-Ligand 1 (PD-L1). We used AFM single-molecule force spectroscopy with bioorthogonal clickable peptide handles, shear stress bead adhesion assays, molecular modeling, and steered molecular dynamics (SMD) to understand the pulling point dependency of the mechanostability of the Affibody:(PD-L1) complex. We observed a wide range of rupture forces depending on the anchor point. Pulling from residue #22 on Affibody generated an intermediate state attributed to partially unfolded PD-L1, while pulling from Affibody’s N-terminus generated a force-activated catch bond. Pulling from residue #22 or #47 on Affibody generated high rupture forces, with the complex breaking at up to ∼190 pN under loading rates of ∼104-105 pN/s, representing a ∼4-fold increase as compared with low-force N-terminal pulling. SMD simulations showed relative tendencies in rupture forces that were consistent with experiments and, through visualization of force propagation networks, provided mechanistic insights. These results demonstrate how the mechanical properties of protein-protein interfaces can be controlled by informed choice of site-specific bioconjugation points within molecules, with implications for optimal bioconjugation strategies in drug delivery vehicles.
Original languageEnglish
Pages (from-to)31912-31922
JournalACS Nano
Volume18
Issue number46
DOIs
Publication statusPublished - 19 Nov 2024
Externally publishedYes

Funding

This work was supported by the University of Basel, ETH Zurich, and a Consolidator Grant from the Swiss State Secretariat for Education, Research and Innovation (SERI) to MN. R.C.B. and D.E.B.G. are supported by the National Science Foundation under Grant MCB-2143787, and the National Institute of General Medical Sciences (NIGMS) of NIH through the grant R24-GM145965. This work used SDSC\u2019s Expanse Supercomputer and NCSA\u2019s Delta Supercomputer through allocation BIO230132 from the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program, which is supported by National Science Foundation grants 2138259, 2138286, 2138307, 2137603, and 2138296.

FundersFunder number
National Institute of General Medical Sciences
Spine Education and Research Institute
Staatssekretariat für Bildung, Forschung und Innovation
Eidgenössische Technische Hochschule Zürich
Universität Basel
National Institutes of Health2138286, 2138296, BIO230132, 2137603, 2138307, R24-GM145965, 2138259
National Institutes of Health
National Science FoundationMCB-2143787
National Science Foundation

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