Author

S. J. Hamis

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

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 3 Approach:statistical model· 3 Approach:deep learning· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Organism:mouse· 1

Frequent Co-Authors

G. G. Powathil· 2 shared A. De Carli· 1 shared A. Yaromina· 1 shared C. R. Wolf· 1 shared J. Kursawe· 1 shared J. Yates· 1 shared L. J. Dubois· 1 shared M. A. Chaplain· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersCancer Biology

G. G. Powathil

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3 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

Targeting cellular DNA damage responses in cancer: An in vitro-calibrated agent-based model simulating monolayer and spheroid treatment responses to ATR-inhibiting drugs

S. J. Hamis, J. Yates, M. A. Chaplain, G. G. Powathil

This paper develops an agent-based model calibrated with in vitro data to simulate cancer cell responses to ATR-inhibiting drugs in monolayers and spheroids, and compares its predictions to in vivo xenograft data.

bioRxiv · Aug 11, 2021Cancer Biology

Combining Hypoxia-Activated Prodrugs and Radiotherapy in silico: Impact of Treatment Scheduling and the Intra-Tumoural Oxygen Landscape

S. J. Hamis, M. Kohandel, L. J. Dubois, A. Yaromina, P. Lambin, G. G. Powathil

This paper uses in silico models to show how hypoxia-activated prodrugs and radiotherapy interact, with treatment outcomes depending on scheduling and tumour oxygen levels.

PLOS Computational Biology · Aug 3, 2020Peer-reviewedCancer Biology