Michael J. E. Sternberg

64 papers A 3B 10Misc 1Journal 40Unranked 9

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	3DLigandSite: structure-based prediction of protein-ligand binding sites. Nucleic Acids Res. Jake E. McGreig, Hannah Uri, Magdalena Antczak, Michael J. E. Sternberg, Martin Michaelis, Mark N. Wass
2022	J	`jnl`	Bioblox 2.5D - Developing an Educational Game Based on Protein Docking. CoRR Frederic Fol Leymarie, William H. Latham, Michael J. E. Sternberg, Guido Salimbeni, Suhail A. Islam, Christopher Reynolds, Charlie Cook, Luis Armas Suarez, Richard Leinfellner
2022	J	`jnl`	PDBe-KB: collaboratively defining the biological context of structural data. Nucleic Acids Res. 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
2020	J	`jnl`	Annotation and curation of human genomic variations: an ELIXIR Implementation Study. F1000Research 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
2020	J	`jnl`	Genome3D: integrating a collaborative data pipeline to expand the depth and breadth of consensus protein structure annotation. Nucleic Acids Res. 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
2020	J	`jnl`	PDBe-KB: a community-driven resource for structural and functional annotations. Nucleic Acids Res. 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
2019	J	`jnl`	Identification of disease-associated loci using machine learning for genotype and network data integration. Bioinform. Luis G. Leal, Alessia David, Marjo-Riitta Järvelin, Sylvain Sebert, Minna Männikkö, Ville Karhunen, Eleanor Seaby, Clive J. Hoggart, Michael J. E. Sternberg
2018	J	`jnl`	PhenoRank: reducing study bias in gene prioritization through simulation. Bioinform. Alex J. Cornish, Alessia David, Michael J. E. Sternberg
2015	J	`jnl`	AlloPred: prediction of allosteric pockets on proteins using normal mode perturbation analysis. BMC Bioinform. Joe G. Greener, Michael J. E. Sternberg
2015	—	`conf`	FoldSynth: Interactive 2D/3D Visualisation Platform for Molecular Strands. VCBM Stephen Todd, Peter Todd, Frederic Fol Leymarie, William H. Latham, Lawrence A. Kelley, Michael J. E. Sternberg, Jim Hugues, Stephen Taylor
2015	J	`jnl`	Genome3D: exploiting structure to help users understand their sequences. Nucleic Acids Res. 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
2013	J	`jnl`	AMBIENT: Active Modules for Bipartite Networks - using high-throughput transcriptomic data to dissect metabolic response. BMC Syst. Biol. William A. Bryant, Michael J. E. Sternberg, John W. Pinney
2013	J	`jnl`	Genome3D: a UK collaborative project to annotate genomic sequences with predicted 3D structures based on SCOP and CATH domains. Nucleic Acids Res. 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
2012	—	`conf`	Aligning protein-protein interaction networks using random neural networks. BIBM Hang T. T. Phan, Michael J. E. Sternberg, Erol Gelenbe
2012	J	`jnl`	Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study. BMC Bioinform. José Carlos Almeida Santos, Houssam Nassif, David Page, Stephen H. Muggleton, Michael J. E. Sternberg
2012	J	`jnl`	CombFunc: predicting protein function using heterogeneous data sources. Nucleic Acids Res. Mark N. Wass, Geraint Barton, Michael J. E. Sternberg
2012	J	`jnl`	Integrating logic-based machine learning and virtual screening to discover new drugs. J. Cheminformatics Christopher Reynolds, Michael J. E. Sternberg
2012	J	`jnl`	PINALOG: a novel approach to align protein interaction networks - implications for complex detection and function prediction. Bioinform. Hang T. T. Phan, Michael J. E. Sternberg
2011	B	`conf`	Does Multi-Clause Learning Help in Real-World Applications? ILP Dianhuan Lin, Jianzhong Chen, Hiroaki Watanabe, Stephen H. Muggleton, Pooja Jain, Michael J. E. Sternberg, Charles Baxter, Richard A. Currie, Stuart J. Dunbar, Mark Earll, José Domingo Salazar
2010	J	`jnl`	3DLigandSite: predicting ligand-binding sites using similar structures. Nucleic Acids Res. Mark N. Wass, Lawrence A. Kelley, Michael J. E. Sternberg
2010	J	`jnl`	Sequencing delivers diminishing returns for homology detection: implications for mapping the protein universe. Bioinform. Daniel Chubb, Benjamin R. Jefferys, Michael J. E. Sternberg, Lawrence A. Kelley
2010	B	`conf`	Variation of Background Knowledge in an Industrial Application of ILP. ILP Stephen H. Muggleton, Jianzhong Chen, Hiroaki Watanabe, Stuart J. Dunbar, Charles Baxter, Richard A. Currie, José Domingo Salazar, Jan Taubert, Michael J. E. Sternberg
2009	B	`conf`	Learning Large Margin First Order Decision Lists for Multi-Class Classification. Discovery Science Huma Lodhi, Stephen H. Muggleton, Michael J. E. Sternberg
2009	J	`jnl`	Multi-Class protein fold recognition using large margin logic based divide and conquer learning. SIGKDD Explor. Huma Lodhi, Stephen H. Muggleton, Michael J. E. Sternberg
2009	—	`conf`	Multi-class protein fold recognition using large margin logic based divide and conquer learning. KDD Workshop on Statistical and Relational Learning in Bioinformatics Huma Lodhi, Stephen H. Muggleton, Michael J. E. Sternberg
2008	J	`jnl`	3D-Garden: a system for modelling protein-protein complexes based on conformational refinement of ensembles generated with the marching cubes algorithm. Bioinform. Victor I. Lesk, Michael J. E. Sternberg
2008	J	`jnl`	ConFunc - functional annotation in the twilight zone. Bioinform. Mark N. Wass, Michael J. E. Sternberg
2008	J	`jnl`	EMAAS: An extensible grid-based Rich Internet Application for microarray data analysis and management. BMC Bioinform. 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
2008	—	`ch.`	Protein Fold Discovery Using Stochastic Logic Programs. Probabilistic Inductive Logic Programming Jianzhong Chen, Lawrence A. Kelley, Stephen H. Muggleton, Michael J. E. Sternberg
2008	J	`jnl`	Scaffold Hopping in Drug Discovery Using Inductive Logic Programming. J. Chem. Inf. Model. Kazuhisa Tsunoyama, Ata Amini, Michael J. E. Sternberg, Stephen H. Muggleton
2007	J	`jnl`	A Novel Logic-Based Approach for Quantitative Toxicology Prediction. J. Chem. Inf. Model. Ata Amini, Stephen H. Muggleton, Huma Lodhi, Michael J. E. Sternberg
2007	J	`jnl`	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. Edward O. Cannon, Ata Amini, Andreas Bender, Michael J. E. Sternberg, Stephen H. Muggleton, Robert C. Glen, John B. O. Mitchell
2006	J	`jnl`	Capturing expert knowledge with argumentation: a case study in bioinformatics. Bioinform. Benjamin R. Jefferys, Lawrence A. Kelley, Marek J. Sergot, John Fox, Michael J. E. Sternberg
2006	B	`conf`	Multi-class Prediction Using Stochastic Logic Programs. ILP Jianzhong Chen, Lawrence A. Kelley, Stephen H. Muggleton, Michael J. E. Sternberg
2006	J	`jnl`	Prediction of viable circular permutants using a graph theoretic approach. Bioinform. Konrad H. Paszkiewicz, Michael J. E. Sternberg, Michael Lappe
2005	B	`conf`	Support Vector Inductive Logic Programming. Discovery Science Stephen H. Muggleton, Huma Lodhi, Ata Amini, Michael J. E. Sternberg
2004	J	`jnl`	3D-GENOMICS: a database to compare structural and functional annotations of proteins between sequenced genomes. Nucleic Acids Res. Keiran Fleming, Arne Müller, Robert M. MacCallum, Michael J. E. Sternberg
2004	J	`jnl`	ArchDB: automated protein loop classification as a tool for structural genomics. Nucleic Acids Res. Jordi Espadaler, Narcis Fernandez-Fuentes, Antonio Hermoso, Enrique Querol, Francesc X. Avilés, Michael J. E. Sternberg, Baldomero Oliva
2002	J	`jnl`	Generating Protein Three-dimensional Fold Signatures using Inductive Logic Programming. Comput. Chem. Marcel Turcotte, Stephen H. Muggleton, Michael J. E. Sternberg
2002	Misc	`conf`	Predicting the Sub-Cellular Location of Proteins from Text Using Support Vector Machines. Pacific Symposium on Biocomputing Benjamin J. Stapley, Lawrence A. Kelley, Michael J. E. Sternberg
2001	J	`jnl`	Automatic determination of protein fold signatures from structural superpositions. Electron. Trans. Artif. Intell. A. P. Cootes, Stephen H. Muggleton, R. B. Greaves, Michael J. E. Sternberg
2001	—	`conf`	Structural annotation of the human genome. German Conference on Bioinformatics Arne Müller, Michael J. E. Sternberg
2001	J	`jnl`	The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures. Mach. Learn. Marcel Turcotte, Stephen H. Muggleton, Michael J. E. Sternberg
2000	J	`jnl`	SAWTED: Structure Assignment With Text Description-Enhanced detection of remote homologues with automated SWISS-PROT annotation comparisons. Bioinform. Robert M. MacCallum, Lawrence A. Kelley, Michael J. E. Sternberg
2000	J	`jnl`	Use of Inductive Logic Programming to Learn Principles of Protein Structure. Electron. Trans. Artif. Intell. Marcel Turcotte, Stephen H. Muggleton, Michael J. E. Sternberg
1999	—	`conf`	Genome annotation with PSI-BLAST: Benchmark and application. German Conference on Bioinformatics Arne Müller, Robert M. MacCallum, Michael J. E. Sternberg
1999	B	`conf`	Recognition of remote protein homologies using three-dimensional information to generate a position specific scoring matrix in the program 3D-PSSM. RECOMB Lawrence A. Kelley, Robert M. MacCallum, Michael J. E. Sternberg
1998	A	`conf`	A Computational System for Modeling Flexible Protein-Protein and protein-DNA Docking. ISMB Michael J. E. Sternberg, Patrick Aloy, Henry A. Gabb, Richard M. Jackson, Gidon Moont, Enrique Querol, Francesc X. Avilés
1998	B	`conf`	Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure. ILP Marcel Turcotte, Stephen H. Muggleton, Michael J. E. Sternberg
1998	B	`conf`	Biochemical Knowledge Discovery Using Inductive Logic Programming. Discovery Science Stephen H. Muggleton, Ashwin Srinivasan, Ross D. King, Michael J. E. Sternberg
1997	B	`conf`	Carcinogenesis Predictions Using ILP. ILP Ashwin Srinivasan, Ross D. King, Stephen H. Muggleton, Michael J. E. Sternberg
1997	J	`jnl`	DSC: public domain protein secondary structure predication. Comput. Appl. Biosci. Ross D. King, Mansoor A. S. Saqi, Roger A. Sayle, Michael J. E. Sternberg
1997	—	`conf`	The Predictive Toxicology Evaluation Challenge. IJCAI (1) Ashwin Srinivasan, Ross D. King, Stephen H. Muggleton, Michael J. E. Sternberg
1996	J	`jnl`	Theories for Mutagenicity: A Study in First-Order and Feature-Based Induction. Artif. Intell. Ashwin Srinivasan, Stephen H. Muggleton, Michael J. E. Sternberg, Ross D. King
1995	—	`conf`	Drug Design by Machine Learning. Machine Intelligence 15 Michael J. E. Sternberg, Ross D. King, Ashwin Srinivasan, Stephen H. Muggleton
1995	J	`jnl`	Relating Chemical Activity to Structure: An Examination of ILP Successes. New Gener. Comput. Ross D. King, Michael J. E. Sternberg, Ashwin Srinivasan
1995	A	`conf`	Towards an Intelligent System for the Automatic Assignment of Domains in Globular Proteins. ISMB Michael J. E. Sternberg, Hedvig Hegyi, Suhail A. Islam, Jingchu Luo, Robert B. Russell
1994	A	`conf`	Inductive Logic Programming Used to Discover Topological Constraints in Protein Structures. ISMB Ross D. King, Dominic A. Clark, Jack Shirazi, Michael J. E. Sternberg
1994	J	`jnl`	Quantitative structure-activity relationships by neural networks and inductive logic programming. I. The inhibition of dihydrofolate reductase by pyrimidines. J. Comput. Aided Mol. Des. Jonathan D. Hirst, Ross D. King, Michael J. E. Sternberg
1994	J	`jnl`	Quantitative structure-activity relationships by neural networks and inductive logic programming. II. The inhibition of dihydrofolate reductase by triazines. J. Comput. Aided Mol. Des. Jonathan D. Hirst, Ross D. King, Michael J. E. Sternberg
1993	—	`conf`	Discovery of Protein Structural Constraints in a Deductive Database using Inductive Logic Programming. Machine Intelligence 14 Ross D. King, Dominic A. Clark, Jack Shirazi, Michael J. E. Sternberg
1992	—	`conf`	Machine Learning and biomolecular modelling. Machine Intelligence 13 Michael J. E. Sternberg, R. A. Lewis, Ross D. King, Stephen H. Muggleton
1991	J	`jnl`	PROMOT: a FORTRAN program to scan protein sequences against a library of known motifs. Comput. Appl. Biosci. Michael J. E. Sternberg
1986	B	`conf`	Using Prolog to Represent and Reason about Protein Structure. ICLP Christopher J. Rawlings, W. R. Taylor, J. Nyakairu, John Fox, Michael J. E. Sternberg