Title data
Zbilut, Joseph P. ; Scheibel, Thomas ; Hümmerich, Daniel ; Webber Jr., Charles L. ; Colafranceschi, Mauro ; Giuliani, Alessandro:
Statistical approaches for investigating silk properties.
In: Applied Physics A.
Vol. 82
(2006)
Issue 2
.
- pp. 243-251.
ISSN 1432-0630
DOI: https://doi.org/10.1007/s00339-005-3429-4
Abstract in another language
Amino acid repeats or motifs have engendered interest because of their significance for protein physical characteristics as well as folding properties. Spider dragline silk proteins are unique because they are composed of long repetitive sections and relatively short non-repetitive sections that are known to interact to generate the very peculiar mechanical and solubility properties of silk. Computational analysis compared with in vitro measurements suggest that the silks achieve their unique pattern of extreme solubility inside the spider glands/complete insolubility outside by correlating their repetitive hydrophobic regions through a type of stochastic resonance, generated by the addition of the non-repetitive sequences to a basically periodic hydrophobicity pattern.
Further data
Item Type: | Article in a journal |
---|---|
Refereed: | Yes |
Institutions of the University: | Faculties Faculties > Faculty of Engineering Science Faculties > Faculty of Engineering Science > Chair Biomaterials Faculties > Faculty of Engineering Science > Chair Biomaterials > Chair Biomaterials - Univ.-Prof. Dr. Thomas Scheibel Profile Fields > Advanced Fields > Advanced Materials Profile Fields > Advanced Fields > Molecular Biosciences Profile Fields > Advanced Fields > Polymer and Colloid Science Profile Fields > Emerging Fields > Food and Health Sciences Profile Fields Profile Fields > Advanced Fields Profile Fields > Emerging Fields |
Result of work at the UBT: | Yes |
DDC Subjects: | 600 Technology, medicine, applied sciences 600 Technology, medicine, applied sciences > 620 Engineering |
Date Deposited: | 25 Sep 2015 06:45 |
Last Modified: | 26 Nov 2015 10:51 |
URI: | https://eref.uni-bayreuth.de/id/eprint/19550 |