Skip navigation
Skip navigation

Computational Studies of Venom Peptides Targeting Potassium Channels

Chen, Rong; Chung, Shin-Ho

Description

Small 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...[Show more]

dc.contributor.authorChen, Rong
dc.contributor.authorChung, Shin-Ho
dc.date.accessioned2018-11-29T22:57:08Z
dc.date.available2018-11-29T22:57:08Z
dc.identifier.issn2072-6651
dc.identifier.urihttp://hdl.handle.net/1885/153754
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/pdf
dc.publisherOpen Access
dc.sourceToxins
dc.titleComputational Studies of Venom Peptides Targeting Potassium Channels
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume7
dc.date.issued2015
local.identifier.absfor060112 - Structural Biology (incl. Macromolecular Modelling)
local.identifier.ariespublicationu4008405xPUB111
local.type.statusPublished Version
local.contributor.affiliationChen, Rong, College of Science, ANU
local.contributor.affiliationChung, Shin-Ho, College of Science, ANU
local.bibliographicCitation.issue12
local.bibliographicCitation.startpage5194
local.bibliographicCitation.lastpage5211
local.identifier.doi10.3390/toxins7124877
local.identifier.absseo970106 - Expanding Knowledge in the Biological Sciences
dc.date.updated2018-11-29T08:15:56Z
local.identifier.scopusID2-s2.0-84949057806
local.identifier.thomsonID000367013500023
dcterms.accessRightsOpen Access
CollectionsANU Research Publications

Download

File Description SizeFormat Image
01_Chen_Computational_Studies_of_Venom_2015.pdf3.3 MBAdobe PDFThumbnail


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator