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Adaptive Brownian Dynamics Simulation for Estimating Potential Mean Force in Ion Channel Permeation

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dc.contributor.authorKrishnamurthy, Vikram
dc.contributor.authorChung, Shin-Ho
dc.date.accessioned2015-12-08T22:37:17Z
dc.date.issued2006
dc.date.updated2015-12-08T09:57:07Z
dc.description.abstractIon channels are biological nanotubes formed by large protein molecules in the cell membrane. This paper presents a novel multiparticle simulation methodology, which we call adaptive controlled Brownian dynamics, for estimating the force experienced by a
dc.identifier.issn1536-1241
dc.identifier.urihttp://hdl.handle.net/1885/35460
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.sourceIEEE Transactions on Nanobioscience
dc.subjectKeywords: Brownian dynamics; Gramicidin; Ion channel; Ion permeation; Potential mean force; Stochastic optimization; Algorithms; Biological membranes; Cells; Computer simulation; Electrochemistry; Molecular dynamics; Proteins; Brownian movement; gramicidin; ion cha Brownian dynamics; Gramicidin; Ion channel; Ion permeation; Potential mean force; Stochastic optimization
dc.titleAdaptive Brownian Dynamics Simulation for Estimating Potential Mean Force in Ion Channel Permeation
dc.typeJournal article
local.bibliographicCitation.issue2
local.bibliographicCitation.lastpage138
local.bibliographicCitation.startpage126
local.contributor.affiliationKrishnamurthy, Vikram, University of British Columbia
local.contributor.affiliationChung, Shin-Ho, College of Medicine, Biology and Environment, ANU
local.contributor.authoruidChung, Shin-Ho, u8809509
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor060101 - Analytical Biochemistry
local.identifier.ariespublicationu9204316xPUB124
local.identifier.citationvolume5
local.identifier.doi10.1109/TNB.2006.875035
local.identifier.scopusID2-s2.0-33746596243
local.type.statusPublished Version

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