Michael Joseph Ezra Sternberg is a Professor at Imperial College London where he is Director of the Centre for Integrative Systems Biology and Bioinformatics and Head of the Structural bioinformatics Group.
Education
Sternberg was educated at Hendon County Grammar School and Gonville and Caius College, Cambridge where he was awarded a Bachelor of Arts degree in Natural Sciences (Theoretical Physics) in 1972. He went on to do a Master of Science degree in Computing at Imperial College London followed by a Doctor of Philosophy degree from the University of Oxford (Wolfson College, Oxford) in 1978 for research supervised by David Chilton Phillips.
Career
After postdoctoral research at the University of Oxford, Sternberg became a Lecturer in the Department of Crystallography at Birkbeck College, London. He went on to work at the Imperial Cancer Fund and joined Imperial College in 2001. He is the Director of the Centre for Integrative Systems Biology and Bioinformatics at Imperial College.
Sternberg"s research interests are in protein structure prediction, protein function prediction, prediction of macromolecular docking and interactions, network modelling for systems biology and logic-based drug design.
He has authored or co-authored several books including From Cells to Atoms: an illustrated introduction to molecular biology, Protein Engineering: a practical approach and Protein Structure Prediction: a practical approach. During his Doctor of Philosophy research at Oxford he worked with Janet Thornton and they undertook some of the first systematic analyses of protein structure.
They identified that the beta-alpha-beta unit in proteins is nearly always right handed and this explained remarkable similarities between protein structures. His group, particularly Lawrence Kelley, have developed the widely used Phyre/Phyre2 web server for protein structure prediction.
This web resource has been used by over 100,000 distinct users worldwide.
Recently his Doctor of Philosophy student Chris Yates developed SuSPect, a novel powerful method to predict the phenotypic effects of Single-nucleotide polymorphisms and other amino acid variants.