dc.contributor.author
Enciso, Marta
dc.contributor.author
Rey, Antonio
dc.date.accessioned
2018-06-08T03:40:13Z
dc.date.available
2015-11-05T08:42:32.922Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/15682
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-19869
dc.description.abstract
We explore the applicability of a single-bead coarse-grained molecular model
to describe the competition between protein folding and aggregation. We have
designed very simple and regular sequences, based on our previous studies on
peptide aggregation, that successfully fold into the three main protein
structural families (all-α, all-β, and α + β). Thanks to equilibrium computer
simulations, we evaluate how temperature and concentration promote
aggregation. Aggregates have been obtained for all the amino acid sequences
considered, showing that this process is common to all proteins, as previously
stated. However, each structural family presents particular characteristics
that can be related to its specific balance between hydrogen bond and
hydrophobic interactions. The model is very simple and has limitations, yet it
is able to reproduce both the cooperative folding of isolated polypeptide
chains with regular sequences and the formation of different types of
aggregates at high concentrations.
de
dc.rights.uri
http://publishing.aip.org/authors/web-posting-guidelines
dc.subject.ddc
500 Naturwissenschaften und Mathematik
dc.title
Sketching protein aggregation with a physics-based toy model
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
Journal of Chemical Physics. - 139 (2013), 11, Artikel Nr. 115101
dcterms.bibliographicCitation.doi
10.1063/1.4820793
dcterms.bibliographicCitation.url
http://dx.doi.org/10.1063/1.4820793
refubium.affiliation
Mathematik und Informatik
de
refubium.funding
OpenAccess Publikation in Allianzlizenz
refubium.mycore.fudocsId
FUDOCS_document_000000023420
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000005632
dcterms.accessRights.openaire
open access