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Michael J. E. Sternberg
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- affiliation: Imperial College London, UK
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2020 – today
- 2022
- [j38]Mihaly Varadi
, Stephen Anyango
PDBe-KB: collaboratively defining the biological context of structural data. Nucleic Acids Res. 50(D1): 534-542 (2022) - [j37]Jake E. McGreig
3DLigandSite: structure-based prediction of protein-ligand binding sites. Nucleic Acids Res. 50(W1): 13-20 (2022) - [i2]Frederic Fol Leymarie, William H. Latham, Michael J. E. Sternberg, Guido Salimbeni
Bioblox 2.5D - Developing an Educational Game Based on Protein Docking. CoRR abs/2204.12425 (2022) - 2020
- [j36]Ian Sillitoe
Genome3D: integrating a collaborative data pipeline to expand the depth and breadth of consensus protein structure annotation. Nucleic Acids Res. 48(Database-Issue): D314-D319 (2020) - [j35]Mihaly Varadi
PDBe-KB: a community-driven resource for structural and functional annotations. Nucleic Acids Res. 48(Database-Issue): D344-D353 (2020) - [i1]Alessia David
Annotation and curation of human genomic variations: an ELIXIR Implementation Study. F1000Research 9: 1207 (2020)
2010 – 2019
- 2019
- [j34]Luis G. Leal, Alessia David, Marjo-Riitta Järvelin, Sylvain Sebert, Minna Männikkö
Identification of disease-associated loci using machine learning for genotype and network data integration. Bioinform. 35(24): 5182-5190 (2019) - 2018
- [j33]Alex J. Cornish, Alessia David, Michael J. E. Sternberg
PhenoRank: reducing study bias in gene prioritization through simulation. Bioinform. 34(12): 2087-2095 (2018) - 2015
- [j32]Joe G. Greener
AlloPred: prediction of allosteric pockets on proteins using normal mode perturbation analysis. BMC Bioinform. 16: 335:1-335:7 (2015) - [j31]Tony E. Lewis, Ian Sillitoe, Antonina Andreeva
Genome3D: exploiting structure to help users understand their sequences. Nucleic Acids Res. 43(Database-Issue): 382-386 (2015) - [c23]Stephen Todd, Peter Todd, Frederic Fol Leymarie
FoldSynth: Interactive 2D/3D Visualisation Platform for Molecular Strands. VCBM 2015: 41-50 - 2013
- [j30]William A. Bryant, Michael J. E. Sternberg
AMBIENT: Active Modules for Bipartite Networks - using high-throughput transcriptomic data to dissect metabolic response. BMC Syst. Biol. 7: 26 (2013) - [j29]Tony E. Lewis, Ian Sillitoe, Antonina Andreeva
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): 499-507 (2013) - 2012
- [j28]Hang T. T. Phan
PINALOG: a novel approach to align protein interaction networks - implications for complex detection and function prediction. Bioinform. 28(9): 1239-1245 (2012) - [j27]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: 162 (2012) - [j26]Christopher Reynolds
Integrating logic-based machine learning and virtual screening to discover new drugs. J. Cheminformatics 4(S-1): 10 (2012) - [j25]Mark N. Wass
CombFunc: predicting protein function using heterogeneous data sources. Nucleic Acids Res. 40(Web-Server-Issue): 466-470 (2012) - [c22]Hang T. T. Phan, Michael J. E. Sternberg
Aligning protein-protein interaction networks using random neural networks. BIBM 2012: 1-6 - 2011
- [c21]Dianhuan Lin, Jianzhong Chen, Hiroaki Watanabe, Stephen H. Muggleton, Pooja Jain, Michael J. E. Sternberg
Does Multi-Clause Learning Help in Real-World Applications? ILP 2011: 221-237 - 2010
- [j24]Daniel Chubb, Benjamin R. Jefferys, Michael J. E. Sternberg
Sequencing delivers diminishing returns for homology detection: implications for mapping the protein universe. Bioinform. 26(21): 2664-2671 (2010) - [j23]Mark N. Wass
3DLigandSite: predicting ligand-binding sites using similar structures. Nucleic Acids Res. 38(Web-Server-Issue): 469-473 (2010) - [c20]Stephen H. Muggleton, Jianzhong Chen, Hiroaki Watanabe, Stuart J. Dunbar, Charles Baxter, Richard A. Currie
Variation of Background Knowledge in an Industrial Application of ILP. ILP 2010: 158-170
2000 – 2009
- 2009
- [j22]Huma Lodhi, Stephen H. Muggleton, Michael J. E. Sternberg:
Multi-Class protein fold recognition using large margin logic based divide and conquer learning. SIGKDD Explor. 11(2): 117-122 (2009) - [c19]Huma Lodhi, Stephen H. Muggleton, Michael J. E. Sternberg
Learning Large Margin First Order Decision Lists for Multi-Class Classification. Discovery Science 2009: 168-183 - [c18]Huma Lodhi, Stephen H. 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: 22-26 - 2008
- [j21]Mark N. Wass
ConFunc - functional annotation in the twilight zone. Bioinform. 24(6): 798-806 (2008) - [j20]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): 1137-1144 (2008) - [j19]Geraint Barton, J. C. Abbott, Norie Chiba, D. W. Huang, Y. Huang, Marko Krznaric, J. Mack-Smith, A. Saleem, B. T. Sherman, Brijesh Tiwari
EMAAS: An extensible grid-based Rich Internet Application for microarray data analysis and management. BMC Bioinform. 9 (2008) - [j18]Kazuhisa Tsunoyama, Ata Amini, Michael J. E. Sternberg
Scaffold Hopping in Drug Discovery Using Inductive Logic Programming. J. Chem. Inf. Model. 48(5): 949-957 (2008) - [p1]Jianzhong Chen, Lawrence A. Kelley, Stephen H. Muggleton, Michael J. E. Sternberg
Protein Fold Discovery Using Stochastic Logic Programs. Probabilistic Inductive Logic Programming 2008: 244-262 - 2007
- [j17]Edward O. Cannon, Ata Amini, Andreas Bender, Michael J. E. Sternberg
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): 269-280 (2007) - [j16]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): 998-1006 (2007) - 2006
- [j15]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): 924-933 (2006) - [j14]Konrad H. Paszkiewicz, Michael J. E. Sternberg
Prediction of viable circular permutants using a graph theoretic approach. Bioinform. 22(11): 1353-1358 (2006) - [c17]Jianzhong Chen, Lawrence A. Kelley, Stephen H. Muggleton, Michael J. E. Sternberg
Multi-class Prediction Using Stochastic Logic Programs. ILP 2006: 109-124 - 2005
- [c16]Stephen H. Muggleton, Huma Lodhi, Ata Amini, Michael J. E. Sternberg
Support Vector Inductive Logic Programming. Discovery Science 2005: 163-175 - 2004
- [j13]Jordi Espadaler
ArchDB: automated protein loop classification as a tool for structural genomics. Nucleic Acids Res. 32(Database-Issue): 185-188 (2004) - [j12]Keiran Fleming, Arne Müller, Robert M. MacCallum
3D-GENOMICS: a database to compare structural and functional annotations of proteins between sequenced genomes. Nucleic Acids Res. 32(Database-Issue): 245-250 (2004) - 2002
- [j11]Marcel Turcotte
Generating Protein Three-dimensional Fold Signatures using Inductive Logic Programming. Comput. Chem. 26(1): 57-64 (2002) - [c15]Benjamin 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: 374-385 - 2001
- [j10]A. P. Cootes, Stephen H. Muggleton, R. B. Greaves, Michael J. E. Sternberg:
Automatic determination of protein fold signatures from structural superpositions. Electron. Trans. Artif. Intell. 5(B): 245-274 (2001) - [j9]Marcel Turcotte
The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures. Mach. Learn. 43(1/2): 81-95 (2001) - [c14]Arne Müller, Michael J. E. Sternberg:
Structural annotation of the human genome. German Conference on Bioinformatics 2001: 211-212 - 2000
- [j8]Robert M. MacCallum
SAWTED: Structure Assignment With Text Description-Enhanced detection of remote homologues with automated SWISS-PROT annotation comparisons. Bioinform. 16(2): 125-129 (2000) - [j7]Marcel Turcotte, Stephen H. Muggleton, Michael J. E. Sternberg:
Use of Inductive Logic Programming to Learn Principles of Protein Structure. Electron. Trans. Artif. Intell. 4(B): 119-124 (2000)
1990 – 1999
- 1999
- [c13]Arne Müller, Robert M. MacCallum, Michael J. E. Sternberg:
Genome annotation with PSI-BLAST: Benchmark and application. German Conference on Bioinformatics 1999: 218-220 - [c12]Lawrence A. Kelley, Robert M. MacCallum
Recognition of remote protein homologies using three-dimensional information to generate a position specific scoring matrix in the program 3D-PSSM. RECOMB 1999: 218-225 - 1998
- [c11]Stephen H. Muggleton, Ashwin Srinivasan, Ross D. King, Michael J. E. Sternberg
Biochemical Knowledge Discovery Using Inductive Logic Programming. Discovery Science 1998: 326-341 - [c10]Marcel Turcotte, Stephen H. Muggleton, Michael J. E. Sternberg
Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure. ILP 1998: 53-64 - [c9]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: 183-192 - 1997
- [j6]Ross D. King, Mansoor A. S. Saqi
DSC: public domain protein secondary structure predication. Comput. Appl. Biosci. 13(4): 473-474 (1997) - [c8]Ashwin Srinivasan, Ross D. King, Stephen H. Muggleton, Michael J. E. Sternberg:
The Predictive Toxicology Evaluation Challenge. IJCAI (1) 1997: 4-9 - [c7]Ashwin Srinivasan, Ross D. King
Carcinogenesis Predictions Using ILP. ILP 1997: 273-287 - 1996
- [j5]Ashwin Srinivasan, Stephen H. Muggleton, Michael J. E. Sternberg
Theories for Mutagenicity: A Study in First-Order and Feature-Based Induction. Artif. Intell. 85(1-2): 277-299 (1996) - 1995
- [j4]Ross D. King
Relating Chemical Activity to Structure: An Examination of ILP Successes. New Gener. Comput. 13(3&4): 411-433 (1995) - [c6]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: 376-383 - [c5]Michael J. E. Sternberg, Ross D. King, Ashwin Srinivasan, Stephen H. Muggleton:
Drug Design by Machine Learning. Machine Intelligence 15 1995: 328-338 - 1994
- [j3]Jonathan D. Hirst
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): 405-420 (1994) - [j2]Jonathan D. Hirst
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): 421-432 (1994) - [c4]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: 219-226 - 1993
- [c3]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: 275-302 - 1992
- [c2]Michael J. E. Sternberg, R. A. Lewis, Ross D. King, Stephen H. Muggleton:
Machine Learning and biomolecular modelling. Machine Intelligence 13 1992: 193-212 - 1991
- [j1]Michael J. E. Sternberg
PROMOT: a FORTRAN program to scan protein sequences against a library of known motifs. Comput. Appl. Biosci. 7(2): 257-260 (1991)
1980 – 1989
- 1986
- [c1]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: 536-543
Coauthor Index
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