Author

M. A. J. Chaplain

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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Cancer Biology· 3 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 3 Organism:human· 2 Approach:mechanistic / dynamical model· 2 Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1

Frequent Co-Authors

C. R. Wolf· 2 shared Y. Kapelyukh· 2 shared A. De Carli· 1 shared A. McLaren· 1 shared C. J. Henderson· 1 shared G. G. Powathill· 1 shared J. Kursawe· 1 shared L. C. Franssen· 1 shared

Activity by Year

2016-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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2 shared papersCancer Biology

C. R. Wolf

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Author profile →

4 papers

Recent·Most cited

Simulating BRAFV600E-MEK-ERK signalling dynamics in response to vertical inhibition treatment strategies

A. De Carli, Y. Kapelyukh, J. Kursawe, M. A. J. Chaplain, C. R. Wolf, S. J. HAMIS

This paper develops a mathematical model of BRAFV600E-MEK-ERK signaling dynamics to simulate responses to vertical inhibition treatment strategies and identify effective combinations.

bioRxiv · Dec 12, 2023Cancer Biology

Quantifying ERK-activity in response to inhibition of the BRAFV600E-MEK-ERK cascade using mathematical modelling

S. Hamis, Y. Kapelyukh, A. McLaren, C. J. Henderson, C. R. Wolf, M. A. J. Chaplain

This study develops a mathematical model to quantify how dabrafenib and trametinib inhibit ERK-activity in BRAFV600E-mutant melanoma cells and identify mechanisms of drug resistance.

bioRxiv · Apr 20, 2021Cancer Biology

A novel 3D atomistic-continuum cancer invasion model: In silico simulations of an in vitro organotypic invasion assay

N. Sfakianakis, L. C. Franssen, M. A. J. Chaplain

The paper develops a 3D hybrid model to simulate cancer cell invasion in an in vitro assay, incorporating phenotypic variation and EMT/MET transitions.

bioRxiv · Aug 22, 2020Cancer Biology

Modelling the effects of bacterial cell state and spatial location on tuberculosis treatment: Insights from a hybrid multiscale cellular automaton model

R. Bowness, M. A. J. Chaplain, G. G. Powathill, S. H. Gillespie

This paper develops a hybrid multiscale model to study how bacterial cell state and spatial location affect tuberculosis treatment outcomes.

bioRxiv · Aug 17, 2016Microbiology