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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 (?2m), 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 associated with an ssDNA-peptide conjugate by means of DNA-directed immobilization, therefore allowing control of the peptide's spatial orientation. We characterized the sensitivity of such peptide-containing systems against ?2m in solution by means of AFM-based differential topographic imaging and surface plasmon resonance (SPR) spectroscopy. Our results show that the confined peptides are capable of specifically capturing ?2m from the surface-liquid interface with micromolar affinity, hence providing a viable proof-of-concept for our approach to peptide design.

SUBMITTER: Adedeji Olulana AF 

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

REPOSITORIES: biostudies-literature

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

Adedeji Olulana Abimbola Feyisara AF   Soler Miguel A MA   Lotteri Martina M   Vondracek Hendrik H   Casalis Loredana L   Marasco Daniela D   Castronovo Matteo M   Fortuna Sara S  

International journal of molecular sciences 20210115 2


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 p  ...[more]

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