Lawrence A Kelley

Summary

Affiliation: Imperial College
Country: UK

Publications

  1. ncbi Discovering rules for protein-ligand specificity using support vector inductive logic programming
    Lawrence A Kelley
    Structural Bioinformatics Group, Division of Molecular Biosciences, Imperial College London, London, UK
    Protein Eng Des Sel 22:561-7. 2009
  2. ncbi Protein structure prediction on the Web: a case study using the Phyre server
    Lawrence A Kelley
    Structural Bioinformatics Group, Division of Molecular Biosciences, Department of Life Sciences, Imperial College London, South Kensington Campus, London, UK
    Nat Protoc 4:363-71. 2009
  3. ncbi 3DLigandSite: predicting ligand-binding sites using similar structures
    Mark N Wass
    Structural Bioinformatics Group, Centre for Bioinformatics, Imperial College London, London, SW7 2AZ, UK
    Nucleic Acids Res 38:W469-73. 2010
  4. ncbi Exploring the extremes of sequence/structure space with ensemble fold recognition in the program Phyre
    Riccardo M Bennett-Lovsey
    Structural Bioinformatics Group, Division of Molecular Biosciences, Imperial College London, London SW7 2AY, United Kingdom
    Proteins 70:611-25. 2008
  5. ncbi Sequencing delivers diminishing returns for homology detection: implications for mapping the protein universe
    Daniel Chubb
    Department of Life Science, Imperial College London, London, UK
    Bioinformatics 26:2664-71. 2010
  6. ncbi Protein folding requires crowd control in a simulated cell
    Benjamin R Jefferys
    Division of Molecular Biosciences, Biochemistry Building, Imperial College London, South Kensington, London SW7 2AZ, UK
    J Mol Biol 397:1329-38. 2010
  7. ncbi Capturing expert knowledge with argumentation: a case study in bioinformatics
    Benjamin R Jefferys
    Division of Molecular Biosciences, Imperial College, London SW7 2AZ, UK
    Bioinformatics 22:924-33. 2006
  8. ncbi The proteome: structure, function and evolution
    Keiran Fleming
    Structural Bioinformatics Group, Centre for Bioinformatics, Division of Molecular Biosciences, Imperial College of Science, Technology and Medicine, London SW7 2AZ, UK
    Philos Trans R Soc Lond B Biol Sci 361:441-51. 2006
  9. ncbi A new structural model of the acid-labile subunit: pathogenetic mechanisms of short stature-causing mutations
    Alessia David
    Centre for Integrative Systems Biology and Bioinformatics, Division of Molecular Biosciences, Department of Life Sciences, Imperial College London, London SW7 2AZ, UK
    J Mol Endocrinol 49:213-20. 2012
  10. ncbi The extent and importance of intragenic recombination
    Eric de Silva
    Department of Biological Sciences, Imperial College London, Wolfson Building, South Kensington Campus, London SW7 2AZ, UK
    Hum Genomics 1:410-20. 2004

Collaborators

Detail Information

Publications10

  1. ncbi Discovering rules for protein-ligand specificity using support vector inductive logic programming
    Lawrence A Kelley
    Structural Bioinformatics Group, Division of Molecular Biosciences, Imperial College London, London, UK
    Protein Eng Des Sel 22:561-7. 2009
    ..The representation is sufficiently general to be applicable to any discriminatory binding problem. All programs and data sets are freely available to non-commercial users at http://www.sbg.bio.ic.ac.uk/svilp_ligand/...
  2. ncbi Protein structure prediction on the Web: a case study using the Phyre server
    Lawrence A Kelley
    Structural Bioinformatics Group, Division of Molecular Biosciences, Department of Life Sciences, Imperial College London, South Kensington Campus, London, UK
    Nat Protoc 4:363-71. 2009
    ..Phyre is widely used by the biological community, with >150 submissions per day, and provides a simple interface to results. Phyre takes 30 min to predict the structure of a 250-residue protein...
  3. ncbi 3DLigandSite: predicting ligand-binding sites using similar structures
    Mark N Wass
    Structural Bioinformatics Group, Centre for Bioinformatics, Imperial College London, London, SW7 2AZ, UK
    Nucleic Acids Res 38:W469-73. 2010
    ..68. The web server enables users to submit either a query sequence or structure. Predictions are visually displayed via an interactive Jmol applet. 3DLigandSite is available for use at http://www.sbg.bio.ic.ac.uk/3dligandsite...
  4. ncbi Exploring the extremes of sequence/structure space with ensemble fold recognition in the program Phyre
    Riccardo M Bennett-Lovsey
    Structural Bioinformatics Group, Division of Molecular Biosciences, Imperial College London, London SW7 2AY, United Kingdom
    Proteins 70:611-25. 2008
    ..The results indicate greater coverage of sequence space and improved model quality, which can consequently lead to a reduction in the experimental workload of structural genomics initiatives...
  5. ncbi Sequencing delivers diminishing returns for homology detection: implications for mapping the protein universe
    Daniel Chubb
    Department of Life Science, Imperial College London, London, UK
    Bioinformatics 26:2664-71. 2010
    ..We interpret this trend as signalling our approach to a representative map of the protein universe and discuss its implications...
  6. ncbi Protein folding requires crowd control in a simulated cell
    Benjamin R Jefferys
    Division of Molecular Biosciences, Biochemistry Building, Imperial College London, South Kensington, London SW7 2AZ, UK
    J Mol Biol 397:1329-38. 2010
    ..Here, we discuss the possible implications regarding the relationship between protein expression level, protein size, chaperone activity and aggregation...
  7. ncbi Capturing expert knowledge with argumentation: a case study in bioinformatics
    Benjamin R Jefferys
    Division of Molecular Biosciences, Imperial College, London SW7 2AZ, UK
    Bioinformatics 22:924-33. 2006
    ..This technique can be applied to a wide range of bioinformatic tools. AVAILABILITY: Example public server and benchmarking data are available at http://www.sbg.bio.ic.ac.uk/~brj03/argumentation/paper/. Source code available on request...
  8. ncbi The proteome: structure, function and evolution
    Keiran Fleming
    Structural Bioinformatics Group, Centre for Bioinformatics, Division of Molecular Biosciences, Imperial College of Science, Technology and Medicine, London SW7 2AZ, UK
    Philos Trans R Soc Lond B Biol Sci 361:441-51. 2006
    ..The method is also able to identify the specific residues associated with the function of the protein family...
  9. ncbi A new structural model of the acid-labile subunit: pathogenetic mechanisms of short stature-causing mutations
    Alessia David
    Centre for Integrative Systems Biology and Bioinformatics, Division of Molecular Biosciences, Department of Life Sciences, Imperial College London, London SW7 2AZ, UK
    J Mol Endocrinol 49:213-20. 2012
    ..The new model allowed us to analyse the ALS core and its caps and to interpret the potential structural effects of ALS mutations...
  10. ncbi The extent and importance of intragenic recombination
    Eric de Silva
    Department of Biological Sciences, Imperial College London, Wolfson Building, South Kensington Campus, London SW7 2AZ, UK
    Hum Genomics 1:410-20. 2004
    ..This suggests that evolutionary analysis of the recombination process is greatly aided by considering nucleotide sequences and protein products jointly...