Dr Elizabeth Coker | Postdoctoral Fellow

Elizabeth Coker

I am a computational biologist with a background in ‘wet lab’ biology. My work focuses on predicting effective drug combinations for cancer based on large-scale screens.

My research interests include personalised, precision medicine; network biology; identification and validation of therapeutic targets; information flow in protein-protein interaction networks, and the evolutionary consequences of cancer therapies.

Publications

  • SiGNet: A signaling network data simulator to enable signaling network inference.

    Coker EA, Mitsopoulos C, Workman P and Al-Lazikani B

    PloS one 2017;12;5;e0177701

  • Simulated ablation for detection of cells impacting paracrine signalling in histology analysis.

    Taylor-King JP, Baratchart E, Dhawan A, Coker EA, Rye IH et al.

    Mathematical medicine and biology : a journal of the IMA 2019;36;1;93-112

  • canSAR: an updated cancer research and drug discovery knowledgebase.

    Tym JE, Mitsopoulos C, Coker EA, Razaz P, Schierz AC et al.

    Nucleic acids research 2016;44;D1;D938-43

  • canSAR: updated cancer research and drug discovery knowledgebase.

    Bulusu KC, Tym JE, Coker EA, Schierz AC and Al-Lazikani B

    Nucleic acids research 2014;42;Database issue;D1040-7

Elizabeth Coker
Elizabeth's Timeline
2018

Postdoctoral Fellow - Wellcome Trust Sanger Institute

2016

Higher Scientific Officer - Department of Data Science, Institute of Cancer Research, University of London

Awarded PhD from the Institute of Cancer Research, University of London. PhD project: “Identifying novel targets and target combinations for cancer using in silico chemical biology”

2012

Started PhD at Institute of Cancer Research, University of London, supervised by Dr Bissan Al-Lazikani and Professor Paul Workman

Graduated from Newnham College, University of Cambridge with MSci in Systems Biology

2011

Graduated from Newnham College, University of Cambridge with BA(Hons) Genetics