Objective Genetic sequences have had an enormous impact on our understanding of biology. The expectation is that biological network data will have a similar impact. However, progress is hindered by a lack of sophisticated graph theoretic tools that will mine these large networked datasets.In recent breakthrough work at the boundary of computer science and biology supported by my USA NSF CAREER award, I developed sensitive network analysis, comparison and embedding tools which demonstrated that protein-protein interaction networks of eukaryotes are best modeled by geometric graphs. Also, they established phenotypically validated, unprecedented link between network topology and biological function and disease. Now I propose to substantially extend these preliminary results and design sensitive and robust network alignment methods that will lead to uncovering unknown biology and evolutionary relationships. The potential ground-breaking impact of such network alignment tools could be parallel to the impact the BLAST family of sequence alignment tools that have revolutionized our understanding of biological systems and therapeutics. Furthermore, I propose to develop additional sophisticated graph theoretic techniques to mine network data and hence complement biological information that can be extracted from sequence. I propose to exploit these new techniques for biological applications in collaboration with experimentalists at Imperial College London: 1. aligning biological networks of species whose genomes are closely related, but that have very different phenotypes, in order to uncover systems-level factors that contribute to pronounced differences; 2. compare and contrast stress response pathways and metabolic pathways in bacteria in a unified systems-level framework and exploit the findings for: (a) bioengineering of micro-organisms for industrial applications (production of bio-fuels, bioremediation, production of biopolymers); (b) biomedical applications. Fields of science natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsproteomicsnatural sciencesmathematicspure mathematicstopologynatural sciencescomputer and information sciencesengineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksnatural sciencesbiological sciencesgeneticsgenomes Programme(s) FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Topic(s) ERC-SG-ID1 - ERC Starting Grant Interdisciplinary Panel Call for proposal ERC-2011-StG_20101014 See other projects for this call Funding Scheme ERC-SG - ERC Starting Grant Host institution UNIVERSITY COLLEGE LONDON EU contribution € 404 081,07 Address GOWER STREET WC1E 6BT London United Kingdom See on map Region London Inner London — West Camden and City of London Activity type Higher or Secondary Education Establishments Principal investigator Natasa Przulj (Dr.) Administrative Contact Giles Machell (Mr.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data Beneficiaries (2) Sort alphabetically Sort by EU Contribution Expand all Collapse all UNIVERSITY COLLEGE LONDON United Kingdom EU contribution € 404 081,07 Address GOWER STREET WC1E 6BT London See on map Region London Inner London — West Camden and City of London Activity type Higher or Secondary Education Establishments Principal investigator Natasa Przulj (Dr.) Administrative Contact Giles Machell (Mr.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE Participation ended United Kingdom EU contribution € 1 234 093,93 Address SOUTH KENSINGTON CAMPUS EXHIBITION ROAD SW7 2AZ LONDON See on map Region London Inner London — West Westminster Activity type Higher or Secondary Education Establishments Administrative Contact Shaun Power (Mr.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data
