Engineering the Mechanical Stability of a Therapeutic Complex between Affibody and Programmed Death-Ligand 1 by Anchor Point Selection.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 39514863.
- Also identified by DOI 10.1021/acsnano.4c09220.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
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 ∼10<sup>4</sup>-10<sup>5</sup> 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.
Medical subject headings
- B7-H1 Antigen
- Molecular Dynamics Simulation