Michael J. E. Sternberg

According to our database, Michael J. E. Sternberg authored at least 63 papers between 1986 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

PDBe-KB: collaboratively defining the biological context of structural data.

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

Nucleic Acids Res., 2022

3DLigandSite: structure-based prediction of protein-ligand binding sites.

Jake E. McGreig, Hannah Uri, Magdalena Antczak, Michael J. E. Sternberg, Martin Michaelis, Mark N. Wass

Nucleic Acids Res., 2022

Bioblox 2.5D - Developing an Educational Game Based on Protein Docking.

Frederic Fol Leymarie, William H. Latham, Michael J. E. Sternberg, Guido Salimbeni, Suhail A. Islam, Christopher Reynolds, Charlie Cook, Luis Armas Suarez, Richard Leinfellner

CoRR, 2022

2020

PDBe-KB: a community-driven resource for structural and functional annotations.

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

Nucleic Acids Res., 2020

Genome3D: integrating a collaborative data pipeline to expand the depth and breadth of consensus protein structure annotation.

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

Nucleic Acids Res., 2020

Annotation and curation of human genomic variations: an ELIXIR Implementation Study.

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

F1000Research, 2020

2019

Identification of disease-associated loci using machine learning for genotype and network data integration.

Luis G. Leal, Alessia David, Marjo-Riitta Järvelin, Sylvain Sebert, Minna Männikkö, Ville Karhunen, Eleanor Seaby, Clive J. Hoggart, Michael J. E. Sternberg

Bioinform., 2019

2018

PhenoRank: reducing study bias in gene prioritization through simulation.

Alex J. Cornish, Alessia David, Michael J. E. Sternberg

Bioinform., 2018

2015

Genome3D: exploiting structure to help users understand their sequences.

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

Nucleic Acids Res., 2015

AlloPred: prediction of allosteric pockets on proteins using normal mode perturbation analysis.

Joe G. Greener, Michael J. E. Sternberg

BMC Bioinform., 2015

FoldSynth: Interactive 2D/3D Visualisation Platform for Molecular Strands.

Stephen Todd, Peter Todd, Frederic Fol Leymarie, William H. Latham, Lawrence A. Kelley, Michael J. E. Sternberg, Jim Hugues, Stephen Taylor

Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine, 2015

2013

Genome3D: a UK collaborative project to annotate genomic sequences with predicted 3D structures based on SCOP and CATH domains.

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

Nucleic Acids Res., 2013

AMBIENT: Active Modules for Bipartite Networks - using high-throughput transcriptomic data to dissect metabolic response.

William A. Bryant, Michael J. E. Sternberg, John W. Pinney

BMC Syst. Biol., 2013

2012

CombFunc: predicting protein function using heterogeneous data sources.

Mark N. Wass, Geraint Barton, Michael J. E. Sternberg

Nucleic Acids Res., 2012

Integrating logic-based machine learning and virtual screening to discover new drugs.

Christopher Reynolds, Michael J. E. Sternberg

J. Cheminformatics, 2012

Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study.

José Carlos Almeida Santos, Houssam Nassif, David Page, Stephen H. Muggleton, Michael J. E. Sternberg

BMC Bioinform., 2012

PINALOG: a novel approach to align protein interaction networks - implications for complex detection and function prediction.

Hang T. T. Phan, Michael J. E. Sternberg

Bioinform., 2012

Aligning protein-protein interaction networks using random neural networks.

Hang T. T. Phan, Michael J. E. Sternberg, Erol Gelenbe

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011

Does Multi-Clause Learning Help in Real-World Applications?

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

Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

2010

3DLigandSite: predicting ligand-binding sites using similar structures.

Mark N. Wass, Lawrence A. Kelley, Michael J. E. Sternberg

Nucleic Acids Res., 2010

Sequencing delivers diminishing returns for homology detection: implications for mapping the protein universe.

Daniel Chubb, Benjamin R. Jefferys, Michael J. E. Sternberg, Lawrence A. Kelley

Bioinform., 2010

Variation of Background Knowledge in an Industrial Application of 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

Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

2009

Multi-Class protein fold recognition using large margin logic based divide and conquer learning.

Huma Lodhi, Stephen H. Muggleton, Michael J. E. Sternberg

SIGKDD Explor., 2009

Learning Large Margin First Order Decision Lists for Multi-Class Classification.

Huma Lodhi, Stephen H. Muggleton, Michael J. E. Sternberg

Proceedings of the Discovery Science, 12th International Conference, 2009

2008

Scaffold Hopping in Drug Discovery Using Inductive Logic Programming.

Kazuhisa Tsunoyama, Ata Amini, Michael J. E. Sternberg, Stephen H. Muggleton

J. Chem. Inf. Model., 2008

EMAAS: An extensible grid-based Rich Internet Application for microarray data analysis and management.

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

BMC Bioinform., 2008

ConFunc - functional annotation in the twilight zone.

Mark N. Wass, Michael J. E. Sternberg

Bioinform., 2008

3D-Garden: a system for modelling protein-protein complexes based on conformational refinement of ensembles generated with the marching cubes algorithm.

Victor I. Lesk, Michael J. E. Sternberg

Bioinform., 2008

Protein Fold Discovery Using Stochastic Logic Programs.

Jianzhong Chen, Lawrence A. Kelley, Stephen H. Muggleton, Michael J. E. Sternberg

Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008

2007

A Novel Logic-Based Approach for Quantitative Toxicology Prediction.

Ata Amini, Stephen H. Muggleton, Huma Lodhi, Michael J. E. Sternberg

J. Chem. Inf. Model., 2007

Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds.

Edward O. Cannon, Ata Amini, Andreas Bender, Michael J. E. Sternberg, Stephen H. Muggleton, Robert C. Glen, John B. O. Mitchell

J. Comput. Aided Mol. Des., 2007

2006

Prediction of viable circular permutants using a graph theoretic approach.

Konrad H. Paszkiewicz, Michael J. E. Sternberg, Michael Lappe

Bioinform., 2006

Capturing expert knowledge with argumentation: a case study in bioinformatics.

Benjamin R. Jefferys, Lawrence A. Kelley, Marek J. Sergot, John Fox, Michael J. E. Sternberg

Bioinform., 2006

Multi-class Prediction Using Stochastic Logic Programs.

Jianzhong Chen, Lawrence A. Kelley, Stephen H. Muggleton, Michael J. E. Sternberg

Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

2005

Support Vector Inductive Logic Programming.

Stephen H. Muggleton, Huma Lodhi, Ata Amini, Michael J. E. Sternberg

Proceedings of the Discovery Science, 8th International Conference, 2005

2004

3D-GENOMICS: a database to compare structural and functional annotations of proteins between sequenced genomes.

Keiran Fleming, Arne Müller, Robert M. MacCallum, Michael J. E. Sternberg

Nucleic Acids Res., 2004

ArchDB: automated protein loop classification as a tool for structural genomics.

Jordi Espadaler, Narcis Fernandez-Fuentes, Antonio Hermoso, Enrique Querol, Francesc X. Avilés, Michael J. E. Sternberg, Baldomero Oliva

Nucleic Acids Res., 2004

2002

Generating Protein Three-dimensional Fold Signatures using Inductive Logic Programming.

Marcel Turcotte, Stephen H. Muggleton, Michael J. E. Sternberg

Comput. Chem., 2002

Predicting the Sub-Cellular Location of Proteins from Text Using Support Vector Machines.

Benjamin J. Stapley, Lawrence A. Kelley, Michael J. E. Sternberg

Proceedings of the 7th Pacific Symposium on Biocomputing, 2002

2001

The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures.

Marcel Turcotte, Stephen H. Muggleton, Michael J. E. Sternberg

Mach. Learn., 2001

Automatic determination of protein fold signatures from structural superpositions.

A. P. Cootes, Stephen H. Muggleton, R. B. Greaves, Michael J. E. Sternberg

Electron. Trans. Artif. Intell., 2001

Structural annotation of the human genome.

Arne Müller, Michael J. E. Sternberg

Proceedings of the Computer science and biology: Proceedings of the German Conference on Bioinformatics, 2001

2000

Use of Inductive Logic Programming to Learn Principles of Protein Structure.

Marcel Turcotte, Stephen H. Muggleton, Michael J. E. Sternberg

Electron. Trans. Artif. Intell., 2000

SAWTED: Structure Assignment With Text Description-Enhanced detection of remote homologues with automated SWISS-PROT annotation comparisons.

Robert M. MacCallum, Lawrence A. Kelley, Michael J. E. Sternberg

Bioinform., 2000

1999

Recognition of remote protein homologies using three-dimensional information to generate a position specific scoring matrix in the program 3D-PSSM.

Lawrence A. Kelley, Robert M. MacCallum, Michael J. E. Sternberg

Proceedings of the Third Annual International Conference on Research in Computational Molecular Biology, 1999

Genome annotation with PSI-BLAST: Benchmark and application.

Arne Müller, Robert M. MacCallum, Michael J. E. Sternberg

Proceedings of the German Conference on Bioinformatics, 1999

1998

A Computational System for Modeling Flexible Protein-Protein and protein-DNA Docking.

Michael J. E. Sternberg, Patrick Aloy, Henry A. Gabb, Richard M. Jackson, Gidon Moont, Enrique Querol, Francesc X. Avilés

Proceedings of the 6th International Conference on Intelligent Systems for Molecular Biology (ISMB-98), Montréal, Québec, Canada, June 28, 1998

Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure.

Marcel Turcotte, Stephen H. Muggleton, Michael J. E. Sternberg

Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

Biochemical Knowledge Discovery Using Inductive Logic Programming.

Stephen H. Muggleton, Ashwin Srinivasan, Ross D. King, Michael J. E. Sternberg

Proceedings of the Discovery Science, 1998

1997

DSC: public domain protein secondary structure predication.

Ross D. King, Mansoor A. S. Saqi, Roger A. Sayle, Michael J. E. Sternberg

Comput. Appl. Biosci., 1997

Carcinogenesis Predictions Using ILP.

Ashwin Srinivasan, Ross D. King, Stephen H. Muggleton, Michael J. E. Sternberg

Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997

The Predictive Toxicology Evaluation Challenge.

Ashwin Srinivasan, Ross D. King, Stephen H. Muggleton, Michael J. E. Sternberg

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996

Theories for Mutagenicity: A Study in First-Order and Feature-Based Induction.

Ashwin Srinivasan, Stephen H. Muggleton, Michael J. E. Sternberg, Ross D. King

Artif. Intell., 1996

1995

Relating Chemical Activity to Structure: An Examination of ILP Successes.

Ross D. King, Michael J. E. Sternberg, Ashwin Srinivasan

New Gener. Comput., 1995

Drug Design by Machine Learning.

Michael J. E. Sternberg, Ross D. King, Ashwin Srinivasan, Stephen H. Muggleton

Proceedings of the Machine Intelligence 15, 1995

Towards an Intelligent System for the Automatic Assignment of Domains in Globular Proteins.

Michael J. E. Sternberg, Hedvig Hegyi, Suhail A. Islam, Jingchu Luo, Robert B. Russell

Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology, 1995

1994

Quantitative structure-activity relationships by neural networks and inductive logic programming. II. The inhibition of dihydrofolate reductase by triazines.

Jonathan D. Hirst, Ross D. King, Michael J. E. Sternberg

J. Comput. Aided Mol. Des., 1994

Quantitative structure-activity relationships by neural networks and inductive logic programming. I. The inhibition of dihydrofolate reductase by pyrimidines.

Jonathan D. Hirst, Ross D. King, Michael J. E. Sternberg

J. Comput. Aided Mol. Des., 1994

Inductive Logic Programming Used to Discover Topological Constraints in Protein Structures.

Ross D. King, Dominic A. Clark, Jack Shirazi, Michael J. E. Sternberg

Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology, 1994

1993

Discovery of Protein Structural Constraints in a Deductive Database using Inductive Logic Programming.

Ross D. King, Dominic A. Clark, Jack Shirazi, Michael J. E. Sternberg

Proceedings of the Machine Intelligence 14, 1993

1992

Machine Learning and biomolecular modelling.

Michael J. E. Sternberg, R. A. Lewis, Ross D. King, Stephen H. Muggleton

Proceedings of the Machine Intelligence 13, 1992

1991

PROMOT: a FORTRAN program to scan protein sequences against a library of known motifs.

Michael J. E. Sternberg

Comput. Appl. Biosci., 1991

1986

Using Prolog to Represent and Reason about Protein Structure.

Christopher J. Rawlings, W. R. Taylor, J. Nyakairu, John Fox, Michael J. E. Sternberg

Proceedings of the Third International Conference on Logic Programming, 1986