Professor Michael J. E. Sternberg is the Director of the Centre for Integrative Systems Biology and Bioinformatics (CISBIO) and holds the Chair of Structural Bioinformatics.
CISBIO brings together scientists from a wide range of different fields to develop innovative interdisciplinary approaches to understanding biological problems. A key component of the interdisciplinary strategy is a repeated cycle of experimentation and modelling.
Professor Sternberg has been involved in schools outreach programmes funded by the Royal Society and Rolls Royce.
Professor Sternberg entered Bioinformatics via his D.Phil in Biophysics (Oxford). He obtained a first degree in Physics (Cambridge) and a Masters in Computing (Imperial College). He has worked at Oxford, Birkbeck College, Cancer Research UK and joined Imperial College in 2001.
The main research interests of his group are:
- Prediction of protein structure and function
- Prediction of macromolecular docking and interactions
- Prediction of the effect of genetic variants particularlly those associate with disease
- Network modelling for Systems Biology
- Logic-based drug design
Professor Sternberg's group web page is located athttp://www.sbg.bio.ic.ac.uk and includes links to programs and resources available for use by the community.
Full details of his research interests can be found at http://www.sbg.bio.ic.ac.uk/research.html.
Lenhard B, Sternberg MJE, 2019, Computation resources for molecular biology: Special issue 2019, Journal of Molecular Biology, Vol:431, ISSN:0022-2836, Pages:2395-2397
et al., 2019, Can predicted protein 3D-structures provide reliable insights into whether missense variants are disease-associated?, Journal of Molecular Biology, Vol:431, ISSN:0022-2836, Pages:2197-2212
et al., 2019, Identification of disease-associated loci using machine learning for genotype and network data integration, Bioinformatics, ISSN:1367-4803
et al., 2019, PhyreRisk: a dynamic web application to bridge genomics, proteomics and 3D structural data to guide interpretation of human genetic variants, Journal of Molecular Biology, ISSN:0022-2836
et al., 2019, Phylotranscriptomic Insights into the Diversification of Endothermic Thunnus Tunas, Molecular Biology and Evolution, Vol:36, ISSN:0737-4038, Pages:84-96