Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Computational Studies of Venom Peptides Targeting Potassium Channels

dc.contributor.authorChen, Rong
dc.contributor.authorChung, Shin-Ho
dc.date.accessioned2018-11-29T22:57:08Z
dc.date.available2018-11-29T22:57:08Z
dc.date.issued2015
dc.date.updated2018-11-29T08:15:56Z
dc.description.abstractSmall peptides isolated from the venom of animals are potential scaffolds for ion channel drug discovery. This review article mainly focuses on the computational studies that have advanced our understanding of how various toxins interfere with the function of K+ channels. We introduce the computational tools available for the study of toxin-channel interactions. We then discuss how these computational tools have been fruitfully applied to elucidate the mechanisms of action of a wide range of venom peptides from scorpions, spiders, and sea anemone. Keywords: potassium channels; peptide toxins; molecular modeling; molecular dynamics
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn2072-6651
dc.identifier.urihttp://hdl.handle.net/1885/153754
dc.publisherOpen Access
dc.sourceToxins
dc.titleComputational Studies of Venom Peptides Targeting Potassium Channels
dc.typeJournal article
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue12
local.bibliographicCitation.lastpage5211
local.bibliographicCitation.startpage5194
local.contributor.affiliationChen, Rong, College of Science, ANU
local.contributor.affiliationChung, Shin-Ho, College of Science, ANU
local.contributor.authoruidChen, Rong, u5056585
local.contributor.authoruidChung, Shin-Ho, u8809509
local.description.notesImported from ARIES
local.identifier.absfor060112 - Structural Biology (incl. Macromolecular Modelling)
local.identifier.absseo970106 - Expanding Knowledge in the Biological Sciences
local.identifier.ariespublicationu4008405xPUB111
local.identifier.citationvolume7
local.identifier.doi10.3390/toxins7124877
local.identifier.scopusID2-s2.0-84949057806
local.identifier.thomsonID000367013500023
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
01_Chen_Computational_Studies_of_Venom_2015.pdf
Size:
3.22 MB
Format:
Adobe Portable Document Format