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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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In Silico Model of the hERG–BeKm-1 Complex. Structure, MD Trajectories, Contacts / Energies Analysis, and R20K Mutant

Authors: Zavarzina, Iana; Chugunov, Anton;

In Silico Model of the hERG–BeKm-1 Complex. Structure, MD Trajectories, Contacts / Energies Analysis, and R20K Mutant

Abstract

This repository contains molecular modeling data for the predicted hERG potassium channel complex with BeKm-1 toxin. The aim of the study was to obtain the most accurate in silico model of the hERG–BeKm-1 complex, starting from the experimentally determined structures of the channel and the toxin, based on the double-mutant cycle analysis data. The model is presented as the hERG_BeKm-1.pse Pymol session with three scenes (recalled by F1–F3 buttons) used in Fig. 1 preparation. The 500 ns GROMACS molecular dynamics trajectory of this complex is archived in the hERG_BeKm-1_md_trajectory.zip file. *_contacts.zip files contain intermolecular toxin–channel contacts (Hbonds, Salt bridges, pi-cationic and stacking) for both BeKm-1(WT) and BeKm-1(R20K) peptides; *_energy.csv files contain the respective per-residue interaction energies.

Related Organizations
Keywords

BeKm-1, hERG, Toxin, Molecular Dynamics, Potential-sensitive potassium channels

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average