Author

D. J. Gavaghan

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· 5 Cell Biology· 1 Pharmacology & Toxicology· 1

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Assay:electrophysiology· 7 Research Focus:cell type annotation· 3 Organism:human· 3 Research Focus:benchmarking· 2 Approach:deep learning· 2 Approach:experimental assay· 2 Organism:mouse· 2 Approach:statistical model· 2

Frequent Co-Authors

G. R. Mirams· 6 shared M. Clerx· 5 shared C. L. Lei· 3 shared K. A. Beattie· 3 shared K. Wang· 3 shared L. Polonchuk· 3 shared T. P. de Boer· 2 shared A. Agrawal· 1 shared

Activity by Year

2017-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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6 shared papersBiophysics

G. R. Mirams

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Author profile →

7 papers

Recent·Most cited

Models of the cardiac L-type calcium current: a quantitative review

A. Agrawal, K. Wang, L. Polonchuk, J. Cooper, M. Hendrix, D. J. Gavaghan, G. R. Mirams, M. Clerx

This paper reviews 73 mammalian models of the cardiac L-type calcium current, finds large variability in their predictions, and provides model code and data sources.

bioRxiv · Oct 4, 2021Cell Biology

Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments

C. L. Lei, M. Clerx, D. G. Whittaker, D. J. Gavaghan, T. P. de Boer, G. R. Mirams

This paper develops a mathematical model to explain variability in patch-clamp data by accounting for experimental artefacts rather than cell-specific ion channel kinetics.

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · May 25, 2020Peer-reviewedBiophysics

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

Rapid characterisation of hERG channel kinetics I: using an automated high-throughput system

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

This paper introduces a 15-second high-throughput protocol to rapidly characterize hERG channel kinetics using automated patch clamp systems and validates it with a hierarchical Bayesian model.

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

Early afterdepolarisation tendency as a simulated pro-arrhythmic risk indicator

B. McMillan, D. J. Gavaghan, G. Mirams

This study simulates early afterdepolarisations (EADs) in cardiac cells to predict TdP risk, finding that EAD metrics outperform hERG block alone but are less accurate than action potential duration measurements.

bioRxiv · Aug 15, 2017Pharmacology & Toxicology