I have recently submitted my PhD thesis and we have now pre-printed on bioRxiv the work constituting its major chapter. Together with the pre-print, the data have been made publicly available in an online repository of the University of Liverpool. Well isn’t it perfect timing that this week is open access week? 😉
This work has been conducted nearly entirely during the 2 years of my PhD spent at the A*STAR Institute of Materials Research and Engineering (IMRE) and at the A*STAR Institute of High Performance Computing (IHPC) in Singapore.
In this study, peptide-capped gold nanoparticles are considered, which offer the possibility of combining the optical properties of the gold core and the biochemical properties of the peptides.
In the past, short peptides have been specifically designed to form self-assembled monolayers on gold nanoparticles. Thus, such approach was described as constituting a potential route towards the preparation of protein-like nanosystems. In other words, peptide-capped gold nanoparticles can be depicted as building-blocks which could potentially be assembled to form artificial protein-like objects using a “bottom-up” approach.
However, the structural characterization of the peptide monolayer at the gold nanoparticles’ surface, essential to envision the design of building-blocks with well-defined secondary structure motifs and properties, is poorly investigated and remains challenging to assess experimentally.
In the pre-printed manuscript, we present a molecular dynamics computational model for peptide-capped gold nanoparticles, which was developed using systems characterized by mean of IR spectroscopy as a benchmark. In particular, we investigated the effect of the peptide capping density and the gold nanoparticle size on the structure of self-assembled monolayers constituted of either CALNN or CFGAILSS peptide.
The computational results were found not only to well-reproduce the experimental ones, but also to provide insights at the molecular level into the monolayer’s structure and organization, e.g., the peptides’ arrangement within secondary structure domains on the gold nanoparticle, which could not have been assessed with experimental techniques.
Overall, we believe that the proposed computational model will not only be used to predict the structure of peptide monolayers on gold nanoparticles, thus helping in the design of bio-nanomaterials with well-defined structural properties, but will also be combined to experimental findings, in order to obtain a compelling understanding of the monolayer’s structure and organization.
In this sense, we would like to stress that, in order to improve data reproducibility, enable further analysis and the use of the proposed computational model for peptide-capped gold nanoparticles, we are making the data and the custom-written software to assemble and analyse the systems publicly available.