BMA

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
Predicting personalised therapies for triple-negative breast cancer using computational network modelling
HOXA9 has the hallmarks of a biological switch with implications in blood cancers
Blood malignancies arise from the dysregulation of haematopoiesis. The type of blood cell and the specific order of oncogenic events …
Laure Talarmain, Matthew A. Clarke, David Shorthouse, Lilia Cabrera-Cosme, David G. Kent, Jasmin Fisher, Benjamin A. Hall
PDF Code Dataset Project DOI
HOXA9 has the hallmarks of a biological switch with implications in blood cancers
Executable biology: state-of-the-art methods to enable virtual crispr screens
Jun 14, 2022 9:30 AM The Francis Crick Insitute, London, UK
Matthew A. Clarke, Jasmin Fisher
Project Project Project
Executable biology: state-of-the-art methods to enable virtual crispr screens
Executable Network of SARS-CoV-2-Host Interaction Predicts Drug Combination Treatments
May 10, 2022 9:30 AM Woburn House, London, UK
Matthew A. Clarke, Rowan Howell, Ann-Kathrin Reuschl, Tianyi Chen, Sean Abbott-Imboden, Mervyn Singer, David M. Lowe, Clare L. Bennett, Benjamin Chain, Clare Jolly, Jasmin Fisher
Project
Executable Network of SARS-CoV-2-Host Interaction Predicts Drug Combination Treatments
Executable Network of SARS-CoV-2-Host Interaction Predicts Drug Combination Treatments
The COVID-19 pandemic has pushed healthcare systems globally to a breaking point. The urgent need for effective and affordable COVID-19 …
Rowan Howell, Matthew A. Clarke, Ann-Kathrin Reuschl, Tianyi Chen, Sean Abbott-Imboden, Mervyn Singer, David M. Lowe, Clare L. Bennett, Benjamin Chain, Clare Jolly, Jasmin Fisher
PDF Dataset Project DOI
Executable Network of SARS-CoV-2-Host Interaction Predicts Drug Combination Treatments
Executable cancer models: successes and challenges
Making decisions on how best to treat cancer patients requires the integration of different data sets, including genomic profiles, …
Matthew A. Clarke, Jasmin Fisher
PDF DOI
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
Heterogeneity of Myc expression in breast cancer exposes pharmacological vulnerabilities revealed through executable mechanistic modeling
Using State Space Exploration to Determine How Gene Regulatory Networks Constrain Mutation Order in Cancer Evolution
Cancer develops via the progressive accumulation of somatic mutations, which subvert the normal operation of the gene regulatory …
Matthew A. Clarke, Steven Woodhouse, Nir Piterman, Benjamin A. Hall, Jasmin Fisher
PDF Code Dataset Project DOI