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ZENODO
Dataset . 2024
License: CC BY NC ND
Data sources: ZENODO
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Lunaris
Dataset . 2024
License: CC BY NC ND
Data sources: Lunaris
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Complete Dataset for: In Silico Study of the Early Stages of Aggregation of β-Sheet Forming Antimicrobial Peptide GL13K

Authors: Niknam Hamidabad, Mohammadreza; Watson, Natalya; Wright, Lindsay; Mansbach, Rachael;

Complete Dataset for: In Silico Study of the Early Stages of Aggregation of β-Sheet Forming Antimicrobial Peptide GL13K

Abstract

These datasets contain molecular dynamics trajectories, structural files, force field files, and Gromacs production input files of beta-sheet forming antimicrobial peptide/peptides (GL13K) in solution. Each zip file contains 5 independent replicas. A5, A7, A11, GL13K, GL13K_neutral, GL13KR1, and GL13KR1_neutral (7 systems - 35 replicas) are simulations of a single peptide in solution. Each has 500 ns simulations per replica. Charged and Uncharged aggregations (2 systems - 10 replicas) are simulations of 8 peptides in solution. For charged and uncharged systems, each replica has 1000 and 1500 ns simulations per replica. The simulations were done in explicit water, but the water has been removed to make the files a reasonable size for upload.

Acknowledgements: This research was supported in part by Discovery Grant #RGPIN-2021-03470 from the National Sciences and Engineering Research Council of Canada. This research was enabled in part by support provided by Calcul Quebec (www.calculquebec.ca) and the Digital Research Alliance of Canada (https://alliancecan.ca). This research was undertaken, in part, thanks to funding from the Canada Research Chairs Program under grant number CRC-2020-00225. The authors thank Dr. Christine DeWolf and Dr. Deniz Meneksedag-Erol for useful discussion

Country
Canada
Related Organizations
Keywords

Aggregation, Bacteria, biophysics, Peptide, gram+/- bacteria, all-atom model, Molecular dynamics, Gromacs, Antimicrobial resistance, simulation, AMP

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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