The University of Southampton
University of Southampton Institutional Repository

NMR characterization of native liquid spider dragline silk from Nephila edulis

Hronska, M., van Beek, J.D., Williamson, P.T.F., Vollrath, Fritz and Meier, Beat H. (2004) NMR characterization of native liquid spider dragline silk from Nephila edulis Biomacromolecules, 5, (3), pp. 834-839. (doi:10.1021/bm0343904).

Record type: Article

Abstract

Solid spider dragline silk is well-known for its mechanical properties. Nonetheless a detailed picture of the spinning process is lacking. Here we report NMR studies on the liquid silk within the wide sac of the major ampullate (m.a.) gland from the spider Nephila edulis. The resolution in the NMR spectra is shown to be significantly improved by the application of magic-angle spinning (MAS). From the narrow width of the resonance lines and the chemical shifts observed, it is concluded that the silk protein within the wide sac of the m.a. gland is dynamically disordered throughout the molecule in the sense that each amino acid of a given type senses an identical environment, on average. The NMR data obtained are consistent with an isotropic liquid phase.

Full text not available from this repository.

More information

Published date: May 2004

Identifiers

Local EPrints ID: 56445
URI: http://eprints.soton.ac.uk/id/eprint/56445
ISSN: 1525-7797
PURE UUID: 5f73dd2b-ef17-453d-bd1f-bae8df7a5b97
ORCID for P.T.F. Williamson: ORCID iD orcid.org/0000-0002-0231-8640

Catalogue record

Date deposited: 07 Aug 2008
Last modified: 17 Jul 2017 14:30

Export record

Altmetrics

Contributors

Author: M. Hronska
Author: J.D. van Beek
Author: Fritz Vollrath
Author: Beat H. Meier

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×