Portrait of Dr Mark Wass

Dr Mark Wass

Reader in Computational Biology

About

Mark obtained a BA in Natural Sciences from Cambridge University in 2000 followed by an MSc in Computing at Imperial College London (2001). After a few years working in Industry as an IT consultant Mark studied for a PhD with Prof Mike Sternberg at Imperial (2004-2008) and continued onto a post-doctoral position in the group until 2011. In 2011 Mark was awarded a FEBS Long Term Fellowship to work in the group of Alfonso Valencia at the CNIO (Spanish National Cancer Research Centre, Madrid, Spain). Mark joined the School of Biosciences at Kent in October 2012 as a lecturer in Computational Biology and now runs a joint wet/ dry laboratory research group together with Martin Michaelis

orcid.org/0000-0001-5428-6479

Google Scholar: http://tinyurl.com/lsesv4h

Research interests

Mark’s research focusses in two main areas. The first is the development of novel computational methods for the analysis of large scale biological data, particularly methods for the prediction of protein structure, function and interactions. The second area is the application of such methods to address important biological problems. These cover the association of genetic variation with human disease, investigating mechanisms and biomarkers of acquired resistance to anti-cancer drugs and also identifying determinants of pathogenicity in viruses.
In the area of acquired resistance in cancer, Mark’s research focusses on using the Resistant Cancer Cell Line Collection (RCCL), a unique collection of >1,300 cancer cell lines with acquired resistance to anti-cancer drugs, which provides a model to study how tumours become resistant to anti-cancer drugs during treatment. In the area of computational virology Mark’s research initially focussed on investigating determinants of Ebola virus pathogenicity, in 2016, Mark won the International Society of Computational Biology ‘Fight against Ebola award’. Mark’s continues research on Ebola virus and has expanded this area of research to other other viruses including Marburg virus and Zika virus.

Teaching

Undergraduate:

  • BI638 – Bioinformatics and Genomics
  • BI639 – Frontiers in Oncology 
  • BI620 – Frontiers in Virology 
  • BI629 – Proteins

Supervision

MSc-R projects available for 2020/21

Investigation of drug-adapted cancer cell lines

Jointly supervised with Martin Michaelis

We host the Resistant Cancer Cell Line (RCCL) collection, the worldwide largest collection of drug-adapted cancer cell lines and models of acquired drug resistance in cancer at Kent. In this project, drug-adapted cancer cell lines will be characterised and investigated to gain novel insights into the processes underlying resistance formation and to identify novel therapy candidates (including biomarkers)

Using cancer genomics to identify biomarkers of cancer resistance

Jointly supervised with Martin Michaelis

At Kent we host the Resistant Cancer Cell Line (RCCL) collection, the largest collection of cancer cell lines worldwide that have been adapted to anti-cancer drugs. These cells represent a model of drug resistance in tumours. This project will analyse exome sequencing data of a set of cell lines to identify mechanisms of resistance and biomarkers.

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