Computational Evolution of Beta-2-Microglobulin Binding Peptides for Nanopatterned Surface Sensors.

ABSTRACT: The bottom-up design of smart nanodevices largely depends on the accuracy by which each of the inherent nanometric components can be functionally designed with predictive methods. Here, we present a rationally designed, self-assembled nanochip capable of capturing a target protein by means of pre-selected binding sites. The sensing elements comprise computationally evolved peptides, designed to target an arbitrarily selected binding site on the surface of beta-2-Microglobulin (β2m), a globular protein that lacks well-defined pockets. The nanopatterned surface was generated by an atomic force microscopy (AFM)-based, tip force-driven nanolithography technique termed nanografting to construct laterally confined self-assembled nanopatches of single stranded (ss)DNA. These were subsequently ass

SUBMITTER: Adedeji Olulana AF 

PROVIDER: S-EPMC7831021 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature