Michael J. E. Sternberg

Publication Activity (10 Years)

Years Active: 1986-2022
Publications (10 Years): 8

Top Topics

Protein Structure

Data Integration

Drosophila Melanogaster

Top Venues

Nucleic Acids Res.

Publications

Jake E. McGreig, Hannah Uri, Magdalena Antczak, Michael J. E. Sternberg, Martin Michaelis, Mark N. Wass
3DLigandSite: structure-based prediction of protein-ligand binding sites. Nucleic Acids Res. 50 (W1) (2022)
Mihaly Varadi, Stephen Anyango, David R. Armstrong, John M. Berrisford, Preeti Choudhary, Mandar S. Deshpande, Nurul Nadzirin, Sreenath Nair, Lukás Pravda, Ahsan Tanweer, Bissan Al-Lazikani, Claudia Andreini, Geoffrey J. Barton, David Bednar, Karel Berka, Tom L. Blundell, Kelly Brock, José María Carazo, Jirí Damborský, Alessia David, Sucharita Dey, Roland L. Dunbrack Jr., Juan Fernández-Recio, Franca Fraternali, Toby J. Gibson, Manuela Helmer-Citterich, David Hoksza, Thomas A. Hopf, David Jakubec, Natarajan Kannan, Radoslav Krivák, Manjeet Kumar, Emmanuel D. Levy, Nir London, José Ramón Macías, Mallur Srivatsan Madhusudhan, Debora S. Marks, Lennart Martens, Stuart A McGowan, Jake E. McGreig, Vivek Modi, R. Gonzalo Parra, Gerardo Pepe, Damiano Piovesan, Jaime Prilusky, Valeria Putignano, Leandro G. Radusky, Pathmanaban Ramasamy, Atilio O. Rausch, Nathalie Reuter, Luis A. Rodriguez, Nathan J. Rollins, Antonio Rosato, Pawel Rubach, Luis Serrano, Gulzar Singh, Petr Skoda, Carlos Oscar Sánchez Sorzano, Jan Stourac, Joanna I. Sulkowska, Radka Svobodová Vareková, Natalia Tichshenko, Silvio C. E. Tosatto, Wim F. Vranken, Mark N. Wass, Dandan Xue, Daniel Zaidman, Janet M. Thornton, Michael J. E. Sternberg, Christine A. Orengo, Sameer Velankar
PDBe-KB: collaboratively defining the biological context of structural data. Nucleic Acids Res. 50 (D1) (2022)
Frederic Fol Leymarie, William H. Latham, Michael J. E. Sternberg, Guido Salimbeni, Suhail A. Islam, Christopher Reynolds, Charlie Cook, Luis Armas Suarez, Richard Leinfellner
Bioblox 2.5D - Developing an Educational Game Based on Protein Docking. CoRR (2022)
Ian Sillitoe, Antonina Andreeva, Tom L. Blundell, Daniel W. A. Buchan, Robert D. Finn, Julian Gough, David T. Jones, Lawrence A. Kelley, Typhaine Paysan-Lafosse, Su Datt Lam, Alexey G. Murzin, Arun Prasad Pandurangan, Gustavo A. Salazar, Marcin J. Skwark, Michael J. E. Sternberg, Sameer Velankar, Christine A. Orengo
Genome3D: integrating a collaborative data pipeline to expand the depth and breadth of consensus protein structure annotation. Nucleic Acids Res. 48 (Database-Issue) (2020)
Alessia David, Valérie Barbié, Marcella Attimonelli, Roberto Preste, Enni Makkonen, Heidi Marjonen, Mats R. K. Lindstedt, Kati Kristiansson, Sarah E. Hunt, Fiona Cunningham, Ilkka Lappalainen, Michael J. E. Sternberg
Annotation and curation of human genomic variations: an ELIXIR Implementation Study. F1000Research 9 (2020)
Mihaly Varadi, John M. Berrisford, Mandar S. Deshpande, Sreenath Nair, Aleksandras Gutmanas, David R. Armstrong, Lukás Pravda, Bissan Al-Lazikani, Stephen Anyango, Geoffrey J. Barton, Karel Berka, Tom L. Blundell, Neera Borkakoti, Jose M. Dana, Sayoni Das, Sucharita Dey, Patrizio Di Micco, Franca Fraternali, Toby J. Gibson, Manuela Helmer-Citterich, David Hoksza, Liang-Chin Huang, Rishabh Jain, Harry Jubb, Christos C. Kannas, Natarajan Kannan, Jaroslav Koca, Radoslav Krivák, Manjeet Kumar, Emmanuel D. Levy, Fábio Madeira, M. S. Madhusudhan, Henry J. Martell, Stuart A. MacGowan, Jake E. McGreig, Saqib Mir, Abhik Mukhopadhyay, Luca Parca, Typhaine Paysan-Lafosse, Leandro G. Radusky, António J. M. Ribeiro, Luis Serrano, Ian Sillitoe, Gulzar Singh, Petr Skoda, Radka Svobodová Vareková, Jonathan D. Tyzack, Alfonso Valencia, Eloy D. Villasclaras-Fernández, Wim F. Vranken, Mark N. Wass, Janet M. Thornton, Michael J. E. Sternberg, Christine A. Orengo, Sameer Velankar
PDBe-KB: a community-driven resource for structural and functional annotations. Nucleic Acids Res. 48 (Database-Issue) (2020)
Luis G. Leal, Alessia David, Marjo-Riitta Järvelin, Sylvain Sebert, Minna Männikkö, Ville Karhunen, Eleanor Seaby, Clive J. Hoggart, Michael J. E. Sternberg
Identification of disease-associated loci using machine learning for genotype and network data integration. Bioinform. 35 (24) (2019)
Alex J. Cornish, Alessia David, Michael J. E. Sternberg
PhenoRank: reducing study bias in gene prioritization through simulation. Bioinform. 34 (12) (2018)
Tony E. Lewis, Ian Sillitoe, Antonina Andreeva, Tom L. Blundell, Daniel W. A. Buchan, Cyrus Chothia, Domenico Cozzetto, Jose M. Dana, Ioannis Filippis, Julian Gough, David T. Jones, Lawrence A. Kelley, Gerard J. Kleywegt, Federico Minneci, Jaina Mistry, Alexey G. Murzin, Bernardo Ochoa-Montaño, Matt E. Oates, Marco Punta, Owen J. L. Rackham, Jonathan Stahlhacke, Michael J. E. Sternberg, Sameer Velankar, Christine A. Orengo
Genome3D: exploiting structure to help users understand their sequences. Nucleic Acids Res. 43 (Database-Issue) (2015)
Joe G. Greener, Michael J. E. Sternberg
AlloPred: prediction of allosteric pockets on proteins using normal mode perturbation analysis. BMC Bioinform. 16 (2015)
Stephen Todd, Peter Todd, Frederic Fol Leymarie, William H. Latham, Lawrence A. Kelley, Michael J. E. Sternberg, Jim Hugues, Stephen Taylor
FoldSynth: Interactive 2D/3D Visualisation Platform for Molecular Strands. VCBM (2015)
Tony E. Lewis, Ian Sillitoe, Antonina Andreeva, Tom L. Blundell, Daniel W. A. Buchan, Cyrus Chothia, Alison L. Cuff, Jose M. Dana, Ioannis Filippis, Julian Gough, Sarah Hunter, David T. Jones, Lawrence A. Kelley, Gerard J. Kleywegt, Federico Minneci, Alex L. Mitchell, Alexey G. Murzin, Bernardo Ochoa-Montaño, Owen J. L. Rackham, James Smith, Michael J. E. Sternberg, Sameer Velankar, Corin Yeats, Christine A. Orengo
Genome3D: a UK collaborative project to annotate genomic sequences with predicted 3D structures based on SCOP and CATH domains. Nucleic Acids Res. 41 (Database-Issue) (2013)
William A. Bryant, Michael J. E. Sternberg, John W. Pinney
AMBIENT: Active Modules for Bipartite Networks - using high-throughput transcriptomic data to dissect metabolic response. BMC Syst. Biol. 7 (2013)
Hang T. T. Phan, Michael J. E. Sternberg
PINALOG: a novel approach to align protein interaction networks - implications for complex detection and function prediction. Bioinform. 28 (9) (2012)
José Carlos Almeida Santos, Houssam Nassif, David Page, Stephen H. Muggleton, Michael J. E. Sternberg
Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study. BMC Bioinform. 13 (2012)
Mark N. Wass, Geraint Barton, Michael J. E. Sternberg
CombFunc: predicting protein function using heterogeneous data sources. Nucleic Acids Res. 40 (Web-Server-Issue) (2012)
Hang T. T. Phan, Michael J. E. Sternberg, Erol Gelenbe
Aligning protein-protein interaction networks using random neural networks. BIBM (2012)
Christopher Reynolds, Michael J. E. Sternberg
Integrating logic-based machine learning and virtual screening to discover new drugs. J. Cheminformatics 4 (S-1) (2012)
Dianhuan Lin, Jianzhong Chen, Hiroaki Watanabe, Stephen Muggleton, Pooja Jain, Michael J. E. Sternberg, Charles Baxter, Richard A. Currie, Stuart J. Dunbar, Mark Earll, José Domingo Salazar
Does Multi-Clause Learning Help in Real-World Applications? ILP (2011)
Stephen Muggleton, Jianzhong Chen, Hiroaki Watanabe, Stuart J. Dunbar, Charles Baxter, Richard A. Currie, José Domingo Salazar, Jan Taubert, Michael J. E. Sternberg
Variation of Background Knowledge in an Industrial Application of ILP. ILP (2010)
Daniel Chubb, Benjamin R. Jefferys, Michael J. E. Sternberg, Lawrence A. Kelley
Sequencing delivers diminishing returns for homology detection: implications for mapping the protein universe. Bioinform. 26 (21) (2010)
Mark N. Wass, Lawrence A. Kelley, Michael J. E. Sternberg
3DLigandSite: predicting ligand-binding sites using similar structures. Nucleic Acids Res. 38 (Web-Server-Issue) (2010)
Huma Lodhi, Stephen Muggleton, Michael J. E. Sternberg
Learning Large Margin First Order Decision Lists for Multi-Class Classification. Discovery Science (2009)
Huma Lodhi, Stephen Muggleton, Michael J. E. Sternberg
Multi-Class protein fold recognition using large margin logic based divide and conquer learning. SIGKDD Explor. 11 (2) (2009)
Huma Lodhi, Stephen Muggleton, Michael J. E. Sternberg
Multi-class protein fold recognition using large margin logic based divide and conquer learning. KDD Workshop on Statistical and Relational Learning in Bioinformatics (2009)
Geraint Barton, J. C. Abbott, Norie Chiba, D. W. Huang, Y. Huang, Marko Krznaric, J. Mack-Smith, A. Saleem, B. T. Sherman, Brijesh Tiwari, Christopher D. Tomlinson, Timothy J. Aitman, John Darlington, Laurence Game, Michael J. E. Sternberg, Sarah A. Butcher
EMAAS: An extensible grid-based Rich Internet Application for microarray data analysis and management. BMC Bioinform. 9 (2008)
Victor I. Lesk, Michael J. E. Sternberg
3D-Garden: a system for modelling protein-protein complexes based on conformational refinement of ensembles generated with the marching cubes algorithm. Bioinform. 24 (9) (2008)
Mark N. Wass, Michael J. E. Sternberg
ConFunc - functional annotation in the twilight zone. Bioinform. 24 (6) (2008)
Kazuhisa Tsunoyama, Ata Amini, Michael J. E. Sternberg, Stephen H. Muggleton
Scaffold Hopping in Drug Discovery Using Inductive Logic Programming. J. Chem. Inf. Model. 48 (5) (2008)
Ata Amini, Stephen H. Muggleton, Huma Lodhi, Michael J. E. Sternberg
A Novel Logic-Based Approach for Quantitative Toxicology Prediction. J. Chem. Inf. Model. 47 (3) (2007)
Edward O. Cannon, Ata Amini, Andreas Bender, Michael J. E. Sternberg, Stephen H. Muggleton, Robert C. Glen, John B. O. Mitchell
Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds. J. Comput. Aided Mol. Des. 21 (5) (2007)
Jianzhong Chen, Lawrence A. Kelley, Stephen Muggleton, Michael J. E. Sternberg
Multi-class Prediction Using Stochastic Logic Programs. ILP (2006)
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. Bioinform. 22 (8) (2006)
Konrad H. Paszkiewicz, Michael J. E. Sternberg, Michael Lappe
Prediction of viable circular permutants using a graph theoretic approach. Bioinform. 22 (11) (2006)
Stephen Muggleton, Huma Lodhi, Ata Amini, Michael J. E. Sternberg
Support Vector Inductive Logic Programming. Discovery Science (2005)
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. Nucleic Acids Res. 32 (Database-Issue) (2004)
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. Nucleic Acids Res. 32 (Database-Issue) (2004)
B. J. Stapley, Lawrence A. Kelley, Michael J. E. Sternberg
Predicting the Sub-Cellular Location of Proteins from Text Using Support Vector Machines. Pacific Symposium on Biocomputing (2002)
Marcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg
Generating Protein Three-dimensional Fold Signatures using Inductive Logic Programming. Comput. Chem. 26 (1) (2002)
Marcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg
The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures. Mach. Learn. 43 (1/2) (2001)
A. P. Cootes, Stephen Muggleton, R. B. Greaves, Michael J. E. Sternberg
Automatic determination of protein fold signatures from structural superpositions. Electron. Trans. Artif. Intell. 5 (B) (2001)
Arne Müller, Michael J. E. Sternberg
Structural annotation of the human genome. German Conference on Bioinformatics (2001)
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. Bioinform. 16 (2) (2000)
Marcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg
Use of Inductive Logic Programming to Learn Principles of Protein Structure. Electron. Trans. Artif. Intell. 4 (B) (2000)
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. RECOMB (1999)
Arne Müller, Robert M. MacCallum, Michael J. E. Sternberg
Genome annotation with PSI-BLAST: Benchmark and application. German Conference on Bioinformatics (1999)
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. ISMB (1998)
Marcel Turcotte, Stephen Muggleton, Michael J. E. Sternberg
Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure. ILP (1998)
Stephen Muggleton, Ashwin Srinivasan, Ross D. King, Michael J. E. Sternberg
Biochemical Knowledge Discovery Using Inductive Logic Programming. Discovery Science (1998)
Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg
The Predictive Toxicology Evaluation Challenge. IJCAI (1) (1997)
Ross D. King, Mansoor A. S. Saqi, Roger A. Sayle, Michael J. E. Sternberg
DSC: public domain protein secondary structure predication. Comput. Appl. Biosci. 13 (4) (1997)
Ashwin Srinivasan, Ross D. King, Stephen Muggleton, Michael J. E. Sternberg
Carcinogenesis Predictions Using ILP. ILP (1997)
Ashwin Srinivasan, Stephen Muggleton, Michael J. E. Sternberg, Ross D. King
Theories for Mutagenicity: A Study in First-Order and Feature-Based Induction. Artif. Intell. 85 (1-2) (1996)
Michael J. E. Sternberg, Ross D. King, Ashwin Srinivasan, Stephen Muggleton
Drug Design by Machine Learning. Machine Intelligence 15 (1995)
Ross D. King, Michael J. E. Sternberg, Ashwin Srinivasan
Relating Chemical Activity to Structure: An Examination of ILP Successes. New Gener. Comput. 13 (3&4) (1995)
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. ISMB (1995)
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. J. Comput. Aided Mol. Des. 8 (4) (1994)
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. J. Comput. Aided Mol. Des. 8 (4) (1994)
Ross D. King, Dominic A. Clark, Jack Shirazi, Michael J. E. Sternberg
Inductive Logic Programming Used to Discover Topological Constraints in Protein Structures. ISMB (1994)
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. Machine Intelligence 14 (1993)
Michael J. E. Sternberg, R. A. Lewis, Ross D. King, Stephen Muggleton
Machine Learning and biomolecular modelling. Machine Intelligence 13 (1992)
Michael J. E. Sternberg
PROMOT: a FORTRAN program to scan protein sequences against a library of known motifs. Comput. Appl. Biosci. 7 (2) (1991)
Christopher J. Rawlings, W. R. Taylor, J. Nyakairu, John Fox, Michael J. E. Sternberg
Using Prolog to Represent and Reason about Protein Structure. ICLP (1986)