2008
DOI: 10.1007/s10822-008-9200-0
|View full text |Cite
|
Sign up to set email alerts
|

Computational prediction of ion permeation characteristics in the glycine receptor modified by photo-sensitive compounds

Abstract: We conduct computational analyses of ion permeation characteristics in a model glycine receptor (GlyR) modified by photo-sensitive compounds. In particular, we consider hypothetical attachment to the channel of charge-neutral chemical groups which can be photo-activated by shining light of an appropriate wavelength on the system. After illumination, the attached molecules become charged via a photodissociation process or excited into a charge-separated state (thus generating a significant electric dipole). We … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
4
0

Year Published

2010
2010
2010
2010

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(4 citation statements)
references
References 31 publications
(57 reference statements)
0
4
0
Order By: Relevance
“…Other existing methods of ion current prediction sacrifice the atomistic representation of a system in favor of computational efficiency. These methods include Brownian dynamics (BD),710 dynamic lattice Monte Carlo (DLMC)11,12 and Poisson-Nernst-Planck (PNP) theory 9,1318. All three approaches share a number of common approximations, e.g .…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…Other existing methods of ion current prediction sacrifice the atomistic representation of a system in favor of computational efficiency. These methods include Brownian dynamics (BD),710 dynamic lattice Monte Carlo (DLMC)11,12 and Poisson-Nernst-Planck (PNP) theory 9,1318. All three approaches share a number of common approximations, e.g .…”
Section: Introductionmentioning
confidence: 99%
“…Other existing methods of ion current prediction sacrifice the atomistic representation of a system in favor of computational efficiency. These methods include Brownian dynamics (BD), dynamic lattice Monte Carlo (DLMC), , and Poisson−Nernst−Planck (PNP) theory. , All three approaches share a number of common approximations, for example, a solvent and a membrane are treated implicitly, while the protein may be represented in atomistic detail (albeit most often as a rigid body). The main difference between these coarse-grained methods of modeling is in the representation of the mobile ions.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Given that several cell-surface receptors and cytoskeletal components appear to be shear sensitive (85,86), we anticipate that these studies will be just the start of characterizing biomolecular conformational change in flow. The enhanced sampling methods should also enable studies of ion channels under strong electromotive forces, to examine in particular whether coupling between the ions and the protein at high fields contributes to rectification (asymmetric conductance) (87,88).…”
Section: Applicationsmentioning
confidence: 99%