Author

K. A. Beattie

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 3

Signature Assays, Organisms & Methods

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Assay:electrophysiology· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

D. J. Gavaghan· 3 shared G. R. Mirams· 3 shared M. Clerx· 2 shared A. P. Hill· 1 shared C. L. Lei· 1 shared D. Melgari· 1 shared J. Hancox· 1 shared J. I. Vandenberg· 1 shared

Activity by Year

2018-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersBiophysics

D. J. Gavaghan

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3 papers

Recent·Most cited

Four ways to fit an ion channel model

M. Clerx, K. A. Beattie, D. J. Gavaghan, G. R. Mirams

The paper compares four methods for fitting ion channel models to single-cell measurements, finding that Methods 3 and 4 provide the best predictions.

bioRxiv · Apr 16, 2019Biophysics

Rapid characterisation of hERG channel kinetics II: temperature dependence

C. L. Lei, M. Clerx, K. A. Beattie, D. Melgari, J. Hancox, D. J. Gavaghan, L. Polonchuk, K. Wang, G. R. Mirams

This paper characterizes the temperature dependence of hERG channel kinetics using a high-throughput protocol and finds that Q10 coefficients poorly represent the temperature sensitivity, while a generalized Eyring relationship fits better.

bioRxiv · Apr 16, 2019Biophysics

Sinusoidal Voltage Protocols For Rapid Characterisation Of Ion Channel Kinetics

K. A. Beattie, A. P. Hill, R. Bardenet, Y. Cui, J. I. Vandenberg, D. J. Gavaghan, T. P. de Boer, G. R. Mirams

This paper introduces a method using sinusoidal voltage protocols to rapidly characterize ion channel kinetics, demonstrating improved predictive models of ion currents in hERG channels.

bioRxiv · Jan 31, 2018Biophysics