Matthew A. Clarke
Matthew A. Clarke
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Automatic
Breast Cancer
Combination therapy
Computatational modelling allows screening of thousands of combinations of drugs to find the most effective treatments. This allows for better protection against the emergence of resistance, as well as rapid drug repurposing e.g. to combat emerging diseases such as COVID-19.
Matthew A. Clarke
PDF
DNA Damage Repair and Radiotherapy
Cancers often emerge, in part, due to deficencies in DNA damage repair, making them vulnerable to DNA damaging treatments such as radiotherapy. While radiotherapy efficacy has been increasing, this is mainly due to better targeting of tumour anatomy, but targeted therapy offers the opportunity to radiosensitise tumour cells by targeting vulnerabilities in the tumour biology. We use computational modelling to find such vulnerabilities, and explore potential resistance mechanisms.
Matthew A. Clarke
Prediction of personalised therapies for triple-negative breast cancer using computational network modelling
May 17, 2023
Kennedy Lecture Theatre, UCL Great Ormond Street Institute of Child Health
Matthew A. Clarke
,
Ashley Nicholls
,
Steven Woodhouse
,
Klara Sinalova
,
Rashmi Kulkarni
,
Jean Abraham
,
Gregory J. Hannon
,
Graeme Hewitt
,
Jasmin Fisher
Project
Project
Project
Predicting personalised therapies for triple-negative breast cancer using computational network modelling
Feb 10, 2023 3:30 PM
Clare College, University of Cambridge, UK
Matthew A. Clarke
,
Ashley Nicholls
,
Steven Woodhouse
,
Klara Sinalova
,
Rashmi Kulkarni
,
Jean Abraham
,
Gregory J. Hannon
,
Graeme Hewitt
,
Jasmin Fisher
Project
Project
Heterogeneity of Myc expression in breast cancer exposes pharmacological vulnerabilities revealed through executable mechanistic modeling
Cells with higher levels of Myc proliferate more rapidly and supercompetitively eliminate neighboring cells. Nonetheless, tumor cells …
Peter Kreuzaler
,
Matthew A. Clarke
,
Elizabeth J. Brown
,
Catherine H. Wilson
,
Roderik M. Kortlever
,
Nir Piterman
,
Trevor Littlewood
,
Gerard I. Evan
,
Jasmin Fisher
PDF
Dataset
Project
DOI
Predictive Computational Modelling of the c-myc Gene Regulatory Network for Combinatorial Treatments of Breast Cancer
As cancer tumours develop, competition between cells will favour those with some mutations over others, creating a dynamic …
Matthew A. Clarke
PDF
DOI
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