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Journal of Proteomics & Bioinformatics

Journal of Proteomics & Bioinformatics
Open Access

ISSN: 0974-276X

+44 1223 790975

Jean-Christophe Nebel

Jean-Christophe Nebel

Associate Professor Kingston University, London UK

Biography
Dr Jean-Christophe Nebel is an Associate Professor in Computing Science and Bioinformatics in the Faculty of Science, Engineering and Computing at Kingston University. He holds an MScEng from the Institute of Chemistry and Industrial Physics in Lyon (French Grande Ecole), an MSc and a PhD in Computing Science from the University of St-Etienne (France, 1997). He is also a Fellow of the UK Higher Education Academy (FHEA). After his PhD, he joined the Department of Computing Science of the University of Glasgow, where he worked as a research assistant and as a research fellow for 7 years. There, he and co-authors developed the world first experimental 3D television studio and won the IEE Reeve Premium award in 2004 for a journal paper reporting that work. Since he arrived at Kingston University, he has conducted research in two areas - computer vision and bioinformatics - where he has developed novel pattern recognition algorithms. As leader of the Bioinformatics Research Group at Kingston University, his research activities span across different aspects of bioinformatics including protein function and structure prediction, protein interaction and protein active site modelling. With the support of grants from a variety of funding bodies, he investigated with collaborators usage of formal grammars for 3D structure modelling of membrane proteins (2007-13). More recently, he has led the development of novel approaches for the 3D structure prediction of both single chain and complexed proteins. His research is being applied on proteins involved in medical conditions (cataract and diabetes) through collaborations with life scientists. To date, he has authored more than 70 peer-reviewed research articles.
Research Interest

Bioinformatics; Protein function prediction; Protein structure prediction; Protein interactions prediction; Docking

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