Imperial College London


Faculty of Natural SciencesDepartment of Life Sciences

Director, Systems Biology and Bioinformatics Centre



+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



Mathews DH, Casadio R, Sternberg MJE, 2023, Computational Resources for Molecular Biology 2023., J Mol Biol, Vol:435

Pennica C, Sternberg M, Islam S, et al., 2023, Missense3D-PPI: a web resource to predict the impact of missense variants at protein interfaces using 3D structural data, Journal of Molecular Biology, Vol:435, ISSN:0022-2836, Pages:1-9

David A, Sternberg MJE, 2023, Protein structure-based evaluation of missense variants: Resources, challenges and future directions., Current Opinion in Structural Biology, Vol:80, ISSN:0959-440X, Pages:1-8

Hanna G, Khanna T, Islam S, et al., 2023, Missense3D-TM: predicting the effect of missense variants in helical transmembrane protein regions using 3D protein structures, Journal of Molecular Biology, Vol:436, ISSN:0022-2836

Ittisoponpisan S, Yahangkiakan S, Sternberg M, et al., 2022, The SARS-CoV-2 infections in Thailand: Analysis of spike mutations complemented by protein structure insights, Songklanakarin Journal of Science and Technology, Vol:44, ISSN:0125-3395, Pages:1201-1208

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