Jean Christophe Nebel

Summary

Affiliation: Kingston University
Country: UK

Publications

  1. pmc Comparative study and meta-analysis of meta-analysis studies for the correlation of genomic markers with early cancer detection
    Zoi Lanara
    Faculty of Mathematical, Physical and Natural Sciences, Department of Biological Sciences, University of Trieste, Trieste, 34128, Italy
    Hum Genomics 7:14. 2013
  2. pmc Quality assessment of protein model-structures based on structural and functional similarities
    Bogumil M Konopka
    Institute of Biomedical Engineering and Instrumentation, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50 370, Wroclaw, Poland
    BMC Bioinformatics 13:242. 2012
  3. pmc A stochastic context free grammar based framework for analysis of protein sequences
    Witold Dyrka
    Institute of Biomedical Engineering and Instrumentation, Wroclaw University of Technology, Poland
    BMC Bioinformatics 10:323. 2009
  4. ncbi request reprint Why inverse proteins are relatively abundant
    Jean Christophe Nebel
    Faculty of Computing, Information Systems and Mathematics, Kingston University, Kingston upon Thames, KT1 2EE, UK
    Protein Pept Lett 17:854-60. 2010
  5. pmc Automatic generation of 3D motifs for classification of protein binding sites
    Jean Christophe Nebel
    Faculty of Computing, Information Systems and Mathematics, Kingston University, Kingston upon Thames, KT1 2EE, UK
    BMC Bioinformatics 8:321. 2007
  6. ncbi request reprint Generation of 3D templates of active sites of proteins with rigid prosthetic groups
    Jean Christophe Nebel
    Faculty of Computing, Information Systems and Mathematics, Kingston University Kingston upon Thames, Surrey KT1 2EE, UK
    Bioinformatics 22:1183-9. 2006
  7. doi request reprint Comparative analysis of genomic signal processing for microarray data clustering
    Robert S H Istepanian
    Mobile Information and Network Technologies, Research Centre, Kingston University London, Kingston upon Thames, UK
    IEEE Trans Nanobioscience 10:225-38. 2011
  8. doi request reprint Fractal dimension and wavelet decomposition for robust microarray data clustering
    Robert S H Istepanian
    Mobile Information and Network Technologies Research Centre MINT, Kingston University, London KT1 2EE, UK
    Conf Proc IEEE Eng Med Biol Soc 2008:4106-9. 2008
  9. ncbi request reprint Structure prediction of LDLR-HNP1 complex based on docking enhanced by LDLR binding 3D motif
    Reyhaneh Esmaielbeiki
    Faculty of Science, Engineering and Computing, Kingston University, Kingston upon Thames, KT1 2EE, UK
    Protein Pept Lett 19:458-67. 2012
  10. ncbi request reprint Linear predictive coding and wavelet decomposition for robust microarray data clustering
    Robert S H Istepanian
    Mobile Information and Network Technologies Research Centre, Kingston University, London, KT1 2EE
    Conf Proc IEEE Eng Med Biol Soc 2007:4629-32. 2007

Collaborators

  • Declan P Naughton
  • Reyhaneh Esmaielbeiki
  • Robert H Istepanian
  • David R Gilbert
  • Zoi Lanara
  • Bogumil M Konopka
  • Jesús Martinez del Rincon
  • Witold Dyrka
  • Balvinder Khambay
  • Efstathia Giannopoulou
  • Marta Fullen
  • Haralabos P Kalofonos
  • Cristiana Pavlidis
  • George P Patrinos
  • Evangelos Kostantinopoulos
  • Malgorzata Kotulska
  • Dimitrios Makris
  • Carlos Orrite Urunuela
  • Ashraf Ayoub
  • Fraser Walker
  • Donald M Hadley
  • Janet Bowman

Detail Information

Publications12

  1. pmc Comparative study and meta-analysis of meta-analysis studies for the correlation of genomic markers with early cancer detection
    Zoi Lanara
    Faculty of Mathematical, Physical and Natural Sciences, Department of Biological Sciences, University of Trieste, Trieste, 34128, Italy
    Hum Genomics 7:14. 2013
    ..Our analysis revealed a total of 17 gene-disease pairs that are affected and generated gene/disease clusters, many of which proved to be independent of the criteria used, which suggests that these clusters are biologically meaningful...
  2. pmc Quality assessment of protein model-structures based on structural and functional similarities
    Bogumil M Konopka
    Institute of Biomedical Engineering and Instrumentation, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50 370, Wroclaw, Poland
    BMC Bioinformatics 13:242. 2012
    ..However, the main issue becomes evaluation of the model quality, which is one of the most important challenges of structural biology...
  3. pmc A stochastic context free grammar based framework for analysis of protein sequences
    Witold Dyrka
    Institute of Biomedical Engineering and Instrumentation, Wroclaw University of Technology, Poland
    BMC Bioinformatics 10:323. 2009
    ..In order to overcome some of these limitations, we propose a Stochastic Context Free Grammar based framework for the analysis of protein sequences where grammars are induced using a genetic algorithm...
  4. ncbi request reprint Why inverse proteins are relatively abundant
    Jean Christophe Nebel
    Faculty of Computing, Information Systems and Mathematics, Kingston University, Kingston upon Thames, KT1 2EE, UK
    Protein Pept Lett 17:854-60. 2010
    ..Therefore, we suggest the relative abundance of inverse proteins can be explained by the fact they display the same repeat structures and amino acid propensity of existing proteins...
  5. pmc Automatic generation of 3D motifs for classification of protein binding sites
    Jean Christophe Nebel
    Faculty of Computing, Information Systems and Mathematics, Kingston University, Kingston upon Thames, KT1 2EE, UK
    BMC Bioinformatics 8:321. 2007
    ..In this paper, we report a method to automatically generate 3D motifs of protein structure binding sites based on consensus atom positions and evaluate it on a set of adenine based ligands...
  6. ncbi request reprint Generation of 3D templates of active sites of proteins with rigid prosthetic groups
    Jean Christophe Nebel
    Faculty of Computing, Information Systems and Mathematics, Kingston University Kingston upon Thames, Surrey KT1 2EE, UK
    Bioinformatics 22:1183-9. 2006
    ..Since these groups are key elements of protein active sites, the generated 3D patterns are expected to be biologically meaningful...
  7. doi request reprint Comparative analysis of genomic signal processing for microarray data clustering
    Robert S H Istepanian
    Mobile Information and Network Technologies, Research Centre, Kingston University London, Kingston upon Thames, UK
    IEEE Trans Nanobioscience 10:225-38. 2011
    ..The results of this study show that the fractal approach provides the best clustering accuracy compared to other digital signal processing and well known statistical methods...
  8. doi request reprint Fractal dimension and wavelet decomposition for robust microarray data clustering
    Robert S H Istepanian
    Mobile Information and Network Technologies Research Centre MINT, Kingston University, London KT1 2EE, UK
    Conf Proc IEEE Eng Med Biol Soc 2008:4106-9. 2008
    ..Comparative analysis of the results indicates that these methods provide improved clustering accuracy compared to some conventional clustering techniques. Moreover, these classifiers don't require any prior training procedures...
  9. ncbi request reprint Structure prediction of LDLR-HNP1 complex based on docking enhanced by LDLR binding 3D motif
    Reyhaneh Esmaielbeiki
    Faculty of Science, Engineering and Computing, Kingston University, Kingston upon Thames, KT1 2EE, UK
    Protein Pept Lett 19:458-67. 2012
    ..The putative identification of the receptor binding mechanism should inform the future design of synthetic HNPs to afford maximum internalisation, which could lead to novel anti-infective drugs...
  10. ncbi request reprint Linear predictive coding and wavelet decomposition for robust microarray data clustering
    Robert S H Istepanian
    Mobile Information and Network Technologies Research Centre, Kingston University, London, KT1 2EE
    Conf Proc IEEE Eng Med Biol Soc 2007:4629-32. 2007
    ..Comparative analyses of the results indicate that these methods provide improved clustering accuracy compared to some conventional clustering techniques. Moreover, there classifiers don't require any prior training procedures...
  11. doi request reprint Tracking human position and lower body parts using Kalman and particle filters constrained by human biomechanics
    Jesús Martinez del Rincon
    Digital Imaging Research Centre, Kingston University, KT1 2EE Surrey, UK
    IEEE Trans Syst Man Cybern B Cybern 41:26-37. 2011
    ..Experiments on a set of indoor and outdoor sequences demonstrate the effectiveness of our method on tracking human lower body parts. Moreover, a detail comparison with current tracking methods is presented...
  12. ncbi request reprint 3D stereophotogrammetric image superimposition onto 3D CT scan images: the future of orthognathic surgery. A pilot study
    Balvinder Khambay
    University of Glasgow Dental School, Scotland, United Kingdom
    Int J Adult Orthodon Orthognath Surg 17:331-41. 2002
    ..25 and 1.5 mm using partial Procrustes analysis based on anatomic landmarks and then registration completion by HICP...