Imperial College London


Faculty of Natural SciencesDepartment of Life Sciences

Director Centre for Bioinformatics



+44 (0)20 7594 5212m.sternberg Website




306Sir Ernst Chain BuildingSouth Kensington Campus





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 at and includes links to programs and resources available for use by the community.

Full details of his research interests can be found at



Alhuzimi E, Leal LG, Sternberg MJE, et al., 2018, Properties of human genes guided by their enrichment in rare and common variants, Human Mutation, Vol:39, ISSN:1059-7794, Pages:365-370

Reynolds CR, Islam SA, Sternberg MJE, 2018, EzMol: A Web Server Wizard for the Rapid Visualization and Image Production of Protein and Nucleic Acid Structures., J Mol Biol

Cornish AJ, David A, Sternberg MJE, 2018, PhenoRank: reducing study bias in gene prioritisation through simulation., Bioinformatics

Waese J, Fan J, Pasha A, et al., 2017, ePlant: Visualizing and Exploring Multiple Levels of Data for Hypothesis Generation in Plant Biology, Plant Cell, Vol:29, ISSN:1040-4651, Pages:1806-1821

Scales M, Chubb D, Dobbins SE, et al., 2017, Search for rare protein altering variants influencing susceptibility to multiple myeloma, Oncotarget, Vol:8, ISSN:1949-2553, Pages:36203-36210

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