Author

M. J. Windley

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

Biology Disciplines

Click to filter author papers

Biophysics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:electrophysiology· 2 Organism:human· 2 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

A. P. Hill· 2 shared J. I. Vandenberg· 2 shared M. D. Perry· 2 shared C. A. Ng· 1 shared J. Farr· 1 shared P. Young· 1 shared W. Lee· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 18 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBiophysics

A. P. Hill

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Heterozygous KCNH2 variant phenotyping using Flp-In HEK293 and high-throughput automated patch clamp electrophysiology

C. A. Ng, J. Farr, P. Young, M. J. Windley, M. D. Perry, A. P. Hill, J. I. Vandenberg

This paper describes a high-throughput method to phenotype KCNH2 variants using automated patch-clamp electrophysiology and Flp-In HEK293 cells, enabling rapid assessment of variant function.

bioRxiv · Feb 2, 2021Biophysics

Protocol-dependent differences in IC50 values measured in hERG assays occur in a predictable way and can be used to quantify state preference of drug binding.

W. Lee, M. J. Windley, M. D. Perry, J. I. Vandenberg, A. P. Hill

This study shows that IC50 differences in hERG assays depend predictably on drug binding states and can be modeled using machine learning.

bioRxiv · Jan 30, 2019Pharmacology & Toxicology