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Michael J. E. Sternberg: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Christopher J. Rawlings, W. R. Taylor, J. Nyakairu, J. Fox, Michael J. E. Sternberg
    Using Prolog to Represent and Reason about Protein Structure. [Citation Graph (1, 0)][DBLP]
    ICLP, 1986, pp:536-543 [Conf]
  2. Stephen Muggleton, Huma Lodhi, Ata Amini, Michael J. E. Sternberg
    Support Vector Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2005, pp:163-175 [Conf]
  3. Stephen Muggleton, Ashwin Srinivasan, Ross D. King, Michael J. E. Sternberg
    Biochemical Knowledge Discovery Using Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1998, pp:326-341 [Conf]
  4. Arne Müller, Robert M. MacCallum, Michael J. E. Sternberg
    Genome annotation with PSI-BLAST: Benchmark and application. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 1999, pp:218-220 [Conf]
  5. Arne Müller, Michael J. E. Sternberg
    Structural annotation of the human genome. [Citation Graph (0, 0)][DBLP]
    German Conference on Bioinformatics, 2001, pp:211-212 [Conf]
  6. Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg
    The Predictive Toxicology Evaluation Challenge. [Citation Graph (0, 0)][DBLP]
    IJCAI (1), 1997, pp:4-9 [Conf]
  7. Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg
    Carcinogenesis Predictions Using ILP. [Citation Graph (0, 0)][DBLP]
    ILP, 1997, pp:273-287 [Conf]
  8. Marcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg
    Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure. [Citation Graph (0, 0)][DBLP]
    ILP, 1998, pp:53-64 [Conf]
  9. Ross D. King, Dominic A. Clark, Jack Shirazi, Michael J. E. Sternberg
    Inductive Logic Programming Used to Discover Topological Constraints in Protein Structures. [Citation Graph (0, 0)][DBLP]
    ISMB, 1994, pp:219-226 [Conf]
  10. Michael J. E. Sternberg, Patrick Aloy, Henry A. Gabb, Richard M. Jackson, Gidon Moont, Enrique Querol, Francesc X. Avilés
    A Computational System for Modeling Flexible Protein-Protein and protein-DNA Docking. [Citation Graph (0, 0)][DBLP]
    ISMB, 1998, pp:183-192 [Conf]
  11. Michael J. E. Sternberg, Hedvig Hegyi, Suhail A. Islam, Jingchu Luo, Robert B. Russell
    Towards an Intelligent System for the Automatic Assignment of Domains in Globular Proteins. [Citation Graph (0, 0)][DBLP]
    ISMB, 1995, pp:376-383 [Conf]
  12. Ross D. King, Dominic A. Clark, Jack Shirazi, Michael J. E. Sternberg
    Discovery of Protein Structural Constraints in a Deductive Database using Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Machine Intelligence 14, 1993, pp:275-302 [Conf]
  13. Michael J. E. Sternberg, Ross D. King, Ashwin Srinivasan, Stephen Muggleton
    Drug Design by Machine Learning. [Citation Graph (0, 0)][DBLP]
    Machine Intelligence 15, 1995, pp:328-338 [Conf]
  14. Michael J. E. Sternberg, R. A. Lewis, Ross D. King, Stephen Muggleton
    Machine Learning and biomolecular modelling. [Citation Graph (0, 0)][DBLP]
    Machine Intelligence 13, 1994, pp:193-212 [Conf]
  15. B. J. Stapley, Lawrence A. Kelley, Michael J. E. Sternberg
    Predicting the Sub-Cellular Location of Proteins from Text Using Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2002, pp:374-385 [Conf]
  16. Lawrence A. Kelley, Robert M. MacCallum, Michael J. E. Sternberg
    Recognition of remote protein homologies using three-dimensional information to generate a position specific scoring matrix in the program 3D-PSSM. [Citation Graph (0, 0)][DBLP]
    RECOMB, 1999, pp:218-225 [Conf]
  17. Ashwin Srinivasan, Stephen Muggleton, Michael J. E. Sternberg, Ross D. King
    Theories for Mutagenicity: A Study in First-Order and Feature-Based Induction. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1996, v:85, n:1-2, pp:277-299 [Journal]
  18. Benjamin R. Jefferys, Lawrence A. Kelley, Marek J. Sergot, John Fox, Michael J. E. Sternberg
    Capturing expert knowledge with argumentation: a case study in bioinformatics. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:8, pp:924-933 [Journal]
  19. Ross D. King, Mansoor A. S. Saqi, Roger A. Sayle, Michael J. E. Sternberg
    DSC: public domain protein secondary structure predication. [Citation Graph (0, 0)][DBLP]
    Computer Applications in the Biosciences, 1997, v:13, n:4, pp:473-474 [Journal]
  20. Robert M. MacCallum, Lawrence A. Kelley, Michael J. E. Sternberg
    SAWTED: Structure Assignment With Text Description-Enhanced detection of remote homologues with automated SWISS-PROT annotation comparisons. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2000, v:16, n:2, pp:125-129 [Journal]
  21. Konrad H. Paszkiewicz, Michael J. E. Sternberg, Michael Lappe
    Prediction of viable circular permutants using a graph theoretic approach. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:11, pp:1353-1358 [Journal]
  22. Michael J. E. Sternberg
    PROMOT: a FORTRAN program to scan protein sequences against a library of known motifs. [Citation Graph (0, 0)][DBLP]
    Computer Applications in the Biosciences, 1991, v:7, n:2, pp:257-260 [Journal]
  23. Marcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg
    Generating Protein Three-dimensional Fold Signatures using Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Computers & Chemistry, 2002, v:26, n:1, pp:57-64 [Journal]
  24. A. P. Cootes, Stephen Muggleton, R. B. Greaves, Michael J. E. Sternberg
    Automatic determination of protein fold signatures from structural superpositions. [Citation Graph (0, 0)][DBLP]
    Electron. Trans. Artif. Intell., 2001, v:5, n:B, pp:245-274 [Journal]
  25. Marcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg
    Use of Inductive Logic Programming to Learn Principles of Protein Structure. [Citation Graph (0, 0)][DBLP]
    Electron. Trans. Artif. Intell., 2000, v:4, n:B, pp:119-124 [Journal]
  26. Jonathan D. Hirst, Ross D. King, Michael J. E. Sternberg
    Quantitative structure-activity relationships by neural networks and inductive logic programming. I. The inhibition of dihydrofolate reductase by pyrimidines. [Citation Graph (0, 0)][DBLP]
    Journal of Computer-Aided Molecular Design, 1994, v:8, n:4, pp:405-420 [Journal]
  27. Jonathan D. Hirst, Ross D. King, Michael J. E. Sternberg
    Quantitative structure-activity relationships by neural networks and inductive logic programming. II. The inhibition of dihydrofolate reductase by triazines. [Citation Graph (0, 0)][DBLP]
    Journal of Computer-Aided Molecular Design, 1994, v:8, n:4, pp:421-432 [Journal]
  28. Marcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg
    The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:43, n:1/2, pp:81-95 [Journal]
  29. Jordi Espadaler, Narcis Fernandez-Fuentes, Antonio Hermoso, Enrique Querol, Francesc X. Avilés, Michael J. E. Sternberg, Baldomero Oliva
    ArchDB: automated protein loop classification as a tool for structural genomics. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2004, v:32, n:Database-Issue, pp:185-188 [Journal]
  30. Keiran Fleming, Arne Müller, Robert M. MacCallum, Michael J. E. Sternberg
    3D-GENOMICS: a database to compare structural and functional annotations of proteins between sequenced genomes. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2004, v:32, n:Database-Issue, pp:245-250 [Journal]
  31. Ross D. King, Michael J. E. Sternberg, Ashwin Srinivasan
    Relating Chemical Activity to Structure: An Examination of ILP Successes. [Citation Graph (0, 0)][DBLP]
    New Generation Comput., 1995, v:13, n:3&4, pp:411-433 [Journal]
  32. Jianzhong Chen, Lawrence A. Kelley, Stephen Muggleton, Michael J. E. Sternberg
    Multi-class Prediction Using Stochastic Logic Programs. [Citation Graph (0, 0)][DBLP]
    ILP, 2006, pp:109-124 [Conf]

  33. Learning Large Margin First Order Decision Lists for Multi-Class Classification. [Citation Graph (, )][DBLP]


  34. Protein Fold Discovery Using Stochastic Logic Programs. [Citation Graph (, )][DBLP]


  35. Multi-class protein fold recognition using large margin logic based divide and conquer learning. [Citation Graph (, )][DBLP]


  36. ConFunc - functional annotation in the twilight zone. [Citation Graph (, )][DBLP]


  37. 3D-Garden: a system for modelling protein-protein complexes based on conformational refinement of ensembles generated with the marching cubes algorithm. [Citation Graph (, )][DBLP]


  38. EMAAS: An extensible grid-based Rich Internet Application for microarray data analysis and management. [Citation Graph (, )][DBLP]


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