Table · dataset · 2021
Data for Unraveling of a strongly correlated dynamical network of residues controlling the permeation of potassium in KcsA Ion Channel
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The complicated patterns of the single-channel currents in potassium ion channel KcsA are governed by the structural variability of the selectivity filter.
Description
A comparative analysis of the dynamics of the wild type KcsA channel and several of its mutants showing different conducting patterns was performed. A strongly correlated dynamical network of interacting residues is found to play a key role in regulating the state of the wild type channel.
The network is centered on the aspartate D80 which plays the role of a hub by strong interacting via hydrogen bonds with residues E71, R64, R89, and W67. Residue D80 also affects the selectivity filter via its backbones. This network further compromises ions and water molecules located inside the channel that results in the mutual influence: the permeation depends on the configuration of residues in the network, and the dynamics of network’s residues depends on locations of ions and water molecules inside the selectivity filter.
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Some features of the network provide a further understanding of experimental results describing the KcsA activity. In particular, the necessity of anionic lipids to be present for functioning the channel is explained by the interaction between the lipids and the arginine residues R64 and R89 that prevents destabilizing the structure of the selectivity filter.<br><br>Data record consists of a zip archive, containing the raw data organised into subfolders according to figure in the corresponding article, and an accompanying readme file.
Each folder also contains a "comment.txt" file with relevant notes for data contained within the subfolder. Further information on specific data files can be found in the comment files or the accompanying readme file.
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Where it is published
- DOI doi.org/10.82444/warw.33814486.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Macromolecular and materials chemistry 70%
Provenance · 1 source records, 17 field assertions
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|---|---|---|---|
| figshare | oai:figshare.com:article/33814486 | 10 d ago | JSON v1 |
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