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Statistical approaches for investigating silk properties

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

Official URL: Volltext

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