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Prof Christine Orengo
Darwin (SMB) Building
Gower Street
Tel: 020 7679 3284
Fax: 020 7679 7193
Prof Christine Orengo profile picture
  • Professor of Bioinformatics
  • Structural & Molecular Biology
  • Div of Biosciences
  • Faculty of Life Sciences
Research Summary
My group develops computational methods for classifying proteins into evolutionary families. We exploit structural and sequence data to do this and a major interest is in the development of algorithms to recognise very distant relationships. We are researching the extent to which functions are conserved across families and in developing better methods for predicting when and how the functions of relatives change in different contexts. We have used our family classification to study the evolution of protein families and to perform comparative genomics. For example to determine which families are under or over represented in different organisms or different environments (e.g. in the metagenomics data). We have also developed methods for predicting protein associations and functional networks. Our methods for predicting functions and functional networks are being exploited by experimental groups in several EU funded collaborations in which we participate. These groups are researching proteins involved in cancer, angiogenesis, B-cell signalling and differentiation. We also belong to the London Pain Consortium who are researching chronic pain. We participate in the NIH funded Protein Structure Initiative one of whose aims is to determine the structures of proteins of biological and medical interest.
Teaching Summary
I organise a 6 week half unit course on Bioinformatics for 3rd year undergraduates in the Department of Structural and Molecular Biology I have co-edited a textbook on Bioinformatics (Bioinformatics: Genes, Proteins and Computers published by Taylor and Francis) for undergraduates and PhD students
Academic Background
1984   Doctor of Philosophy University College London
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University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

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