Abstract
The primary sequence and secondary structure of a peptide are crucial to charge migration, not only in solution (electron transfer, ET), but also in the solid-state (electron transport, ETp). Hence, understanding the charge migration mechanisms is fundamental to the development of biomolecular devices and sensors. We report studies on four Aib-containing helical peptide analogues: Two acyclic linear peptides with one and two electron-rich alkene-based side chains, respectively, and two peptides that are further rigidified into a macrocycle by a side bridge constraint, containing one or no alkene. ETp was investigated across Au/peptide/Au junctions, between 80 and 340 K in combination with the molecular dynamic (MD) simulations. The results reveal that the helical structure of the peptide and electron-rich side chain both facilitate the ETp. As temperature increases, the loss of helical structure, change of monolayer tilt angle, and increase of thermally activated fluctuations affect the conductance of peptides. Specifically, room temperature conductance across the peptide monolayers correlates well with previously observed ET rate constants, where an interplay between backbone rigidity and electron-rich side chains was revealed. Our findings provide new means to manipulate electronic transport across solid-state peptide junctions.
Original language | English |
---|---|
Pages (from-to) | 10951-10958 |
Number of pages | 8 |
Journal | Journal of Physical Chemistry B |
Volume | 123 |
Issue number | 51 |
DOIs | |
State | Published - 26 Dec 2019 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:Copyright © 2019 American Chemical Society.
Funding
We acknowledge the Australian Research Council (ARC) Discovery Project (DP180101581) and the Centre of Excellence for Nanoscale BioPhotonics (CNBP) for financial support. We also acknowledge the Australian National Fabrication Facility for providing the analytical facilities used in this work. C.G. thanks the Weizmann Institute for partial support as a sr. PD fellow and the NSFC (21705019) for financial support. D.C. and M.S. thank the Israel Science Foundation for partial support. Computational aspects of this work were supported by an award under the National Computational Merit Allocation Scheme for J.Y. on the National Computing Infrastructure (NCI) National Facility at the Australian National University.
Funders | Funder number |
---|---|
National Cancer Institute | |
Division of Arctic Sciences | |
National Computational Infrastructure | |
M.S.I. Foundation | |
ARC Centre for Nanoscale BioPhotonics | |
Australian Research Council | DP180101581 |
Australian National University | |
Weizmann Institute of Science | |
National Natural Science Foundation of China | 21705019 |
Israel Science Foundation |