Deep Learning Analysis of Binding Behavior of Virus Displayed Peptides to AuNPs
Filamentous fd viruses have been used as biotemplates to develop nano sized carriers for biomedical applications. Genetically modified fd viruses with enhanced gold binding properties have been previously obtained by displaying gold binding peptides on viral coat proteins. In order to generate a stable colloidal system of dispersed viruses decorated with AuNPs avoiding aggregation, the underlying binding mechanism of AuNP-peptide interaction should be explored. In this paper, we therefore propose a macro scale self-assembly experiment using 3D printed models of AuNP and the virus to extend our understanding of Au binding process. Moreover, we present our image analysis algorithm which combines image processing techniques and deep learning to automatically examine the coupling state of the particles.
KeywordsDeep learning Genetic engineering Phage display Gold
This work was supported by KIST Europe Institutional Program [Project No. 11807].
- 6.Jing, Y., Becker, M.L., Carri, G.A.: The influence of amino acid sequence and functionality on the binding process of peptides onto gold surfaces. Langmuir 28(2), 1408–1417 (2011)Google Scholar
- 10.Openscad. http://www.openscad.org/
- 11.Teixeira-Castro, A., et al.: An image processing application for quantification of protein aggregates in caenorhabditis elegans. In: 5th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2011), pp. 31–38. Springer (2011)Google Scholar
- 12.Richter, S.R., Vineet, V., Roth, S., Koltun, V.: Playing for data: ground truth from computer games. In: European Conference on Computer Vision, pp. 102–118. Springer (2016)Google Scholar