Muggleton, S. H.
See also:Structure-activity relationships derived by machine learning: the use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming. PNAS, vol. 93 no. 1, pp. 438–442.Combining inductive logic programming, active learning and robotics to discover the function of genes. Electronic Transactions in Artificial Intelligence, 5 (B) , pp. 1-36.Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds. Journal of Computer-Aided Molecular Design, May 2007, Volume 21, Issue 5, pp 269-280.Structure Activity Relationships (SAR) and Pharmacophore Discovery Using Inductive Logic Programming (ILP). QSAR & Combinatorial Science Volume 22, Issue 5, pp. 527–532, July 2003.Scaffold Hopping in Drug Discovery Using Inductive Logic Programming. J. Chem. Inf. Model., 2008, 48 (5), pp 949–957.Combining Active Learning with Inductive Logic Programming to close the loop in Machine Learning.A general approach for developing system-specific functions to score protein–ligand docked complexes using support vector inductive logic programming. Proteins: Structure, Function, and Bioinformatica: Special Issue: Third Meeting on the Critical Assessment of PRedicted Interactions, Volume 69, Issue 4, pages 823–831, December 2007.Discovering rules for protein–ligand specificity using support vector inductive logic programming. PEDS, Volume 22, Issue 9, pp. 561-567.New Generation Computing, 8, 295-318