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

Adedeji Olulana, AF, Soler, MA, Lotteri, M et al. (5 more authors) (2021) Computational Evolution of Beta-2-Microglobulin Binding Peptides for Nanopatterned Surface Sensors. International Journal of Molecular Sciences, 22 (2). 812. ISSN 1661-6596

Abstract

Metadata

Authors/Creators:
  • Adedeji Olulana, AF
  • Soler, MA
  • Lotteri, M
  • Vondracek, H
  • Casalis, L
  • Marasco, D
  • Castronovo, M
  • Fortuna, S
Copyright, Publisher and Additional Information: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords: peptides; beta-2-Microglobulin; DNA; atomic force microscopy (AFM); computational design; self-assembly; biosensor
Dates:
  • Published: 15 January 2021
  • Accepted: 4 January 2021
  • Published (online): 15 January 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Food Science and Nutrition (Leeds) > FSN Chemistry and Biochemistry (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 04 Mar 2021 15:49
Last Modified: 04 Mar 2021 15:49
Status: Published
Publisher: MDPI
Identification Number: https://doi.org/10.3390/ijms22020812
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