Publications by authors named "Stephen H Muggleton"

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Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models.
Lun Ai, Stephen H Muggleton, Shi-Shun Liang, Geoff S Baldwin

Mach Learn· October 2025

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Incorporating Virtual Reactions into a Logic-based Ligand-based Virtual Screening Method to Discover New Leads.
Christopher R Reynolds, Stephen H Muggleton, Michael J E Sternberg

Mol Inform· September 2015

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Gene function hypotheses for the Campylobacter jejuni glycome generated by a logic-based approach.
Michael J E Sternberg, Alireza Tamaddoni-Nezhad, Victor I Lesk, Emily Kay, Paul G Hitchen, Stephen H Muggleton

J Mol Biol· January 2013

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Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study.
Jose C A Santos, Houssam Nassif, David Page, Stephen H Muggleton, Michael J E Sternberg

BMC Bioinformatics· July 2012

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Assessment of a rule-based virtual screening technology (INDDEx) on a benchmark data set.
Christopher R Reynolds, Ata C Amini, Stephen H Muggleton, Michael J E Sternberg

J Phys Chem B· June 2012

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Discovering rules for protein-ligand specificity using support vector inductive logic programming.
Lawrence A Kelley, Paul J Shrimpton, Stephen H Muggleton, Michael J E Sternberg

Protein Eng Des Sel· September 2009

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Scaffold hopping in drug discovery using inductive logic programming.
Kazuhisa Tsunoyama, Ata Amini, Michael J E Sternberg, Stephen H Muggleton

J Chem Inf Model· May 2008

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Integrative top-down system metabolic modeling in experimental disease states via data-driven Bayesian methods.
Jung-Wook Bang, Derek J Crockford, Elaine Holmes, Florencio Pazos, Michael J E Sternberg, Stephen H Muggleton

J Proteome Res· February 2008

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A general approach for developing system-specific functions to score protein-ligand docked complexes using support vector inductive logic programming.
Ata Amini, Paul J Shrimpton, Stephen H Muggleton, Michael J E Sternberg

Proteins· December 2007

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A novel logic-based approach for quantitative toxicology prediction.
Ata Amini, Stephen H Muggleton, Huma Lodhi, Michael J E Sternberg

J Chem Inf Model· September 2007

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The identification of similarities between biological networks: application to the metabolome and interactome.
Adrian P Cootes, Stephen H Muggleton, Michael J E Sternberg

J Mol Biol· June 2007

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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

J Comput Aided Mol Des· May 2007

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2020 computing: exceeding human limits.
Stephen H Muggleton

Nature· March 2006

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Functional genomic hypothesis generation and experimentation by a robot scientist.
Ross D King, Kenneth E Whelan, Ffion M Jones, Philip G K Reiser, Christopher H Bryant, Stephen H Muggleton

Nature· January 2004

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The automatic discovery of structural principles describing protein fold space.
Adrian P Cootes, Stephen H Muggleton, Michael J E Sternberg

J Mol Biol· July 2003

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