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Technology and methodology behind INDDEx™


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Results of INDDEx™ application to various targets


Publications relating to Equinox Pharma technologies



Muggleton SH, Lodhi HM, Sternberg MJE & Amini A, inventors; Imperial Innovations Limited; 2012 Feb. 28. Support vector inductive logic programming. United States patent US 8,126,823.

Key publications

  1. Reynolds CR, Amini AC, Muggleton SH, Sternberg MJE, Assessment of a Rule-Based Virtual Screening Technology (INDDEx) on a Benchmark Data Set. J Phys Chem B, 2012, Vol. 116, No. 23, Pages 6732–6739. (doi)
  2. Cannon EO, Amini A, Bender A, Sternberg MJE, Muggleton SH, Glen RC, Mitchell JB, 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, 2007, Vol. 21, Pages 269-280, ISSN:0920-654X (doi)
  3. Amini A, Shrimpton PJ, Muggleton SH, Sternberg MJE, A general approach for developing system-specific functions to score protein-ligand docked complexes using support vector inductive logic programming, Proteins, 2007, Vol. 69, Pages 823-831, ISSN:0887-3585 (doi)
  4. Amini A, Muggleton SH, Lodhi H, Sternberg MJE, A novel logic-based approach for quantitative toxicology prediction., J Chem Inf Model, 2007, Vol. 47, Pages 998-1006, ISSN:1549-9596 (doi)

Other publications

  1. Tsunoyama K, Amini A, Sternberg MJE, Muggleton SH, Scaffold hopping in drug discovery using inductive logic programming, J Chem Inf Model, 2008, Vol. 48, Pages 949-957, ISSN:1549-9596 (doi)
  2. Muggleton SH, Lodhi H, Amini A, Sternberg MJE, Support Vector Inductive Logic Programming. Innovations in Machine Learning Studies in Fuzziness and Soft Computing, 2006, Vol. 194, Pages 113-135, (doi)
  3. Muggleton SH, Lodhi H, Amini A, Sternberg MJE, Support vector inductive logic programming, 8th International Conference on Discovery Science, 8–11 October 2005, Singapore, Berlin, Springer-Verlag, 2005, Pages 163-175
  4. Sternberg MJE, Muggleton SH, Structure activity relationships (SAR) and pharmacophore discovery using Inductive Logic Programming (ILP), QSAR & Combinatorial Science, 2003, Vol. 22, Pages 527-532, ISSN:1611-020X (doi)
  5. King RD, Sternberg MJE, Muggleton SH, Srinivasan A, Recent developments in applying machine learning to drug design, Structure-based drug design: experimental and computational approaches (NATO Science Series E), Ed. Codding PW, 1998, Pages 151-162, ISSN:0168-132X
  6. Srinivasan A, King RD, Muggleton SH, Sternberg MJE, The Predictive Toxicology Evaluation challenge, Proceedings of the 15th International Joint Conference on Artifical intelligence, 1997, Volume 1, Pages 4-9, ISSN:1045-0823
  7. Srinivasan A, King RD, Muggleton SH, Sternberg MJE, Carcinogenesis predictions using inductive logic programming, Lecture Notes in Computer Science: Inductive Logic Programming, 1997, Pages 243-260 (doi)
  8. King RD, Muggleton SH, Srinivasan A, Sternberg MJE, Structure-activity relationships derived by machine learning: the use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming., Proceedings of the National Academy of Sciences USA, 1996, Vol. 93, No. 1, Pages 438-442, ISSN:0027-8424
  9. Srinivasan A, Muggleton SH, Sternberg MJE, King RD, Theories for mutagenicity: A study in first-order and feature-based induction, Artificial Intelligence, 1996, Vol. 85, Pages 277-299, ISSN:0004-3702 (doi)
  10. Muggleton SH, Inductive logic programming: Theory and methods. The Journal of Logic Programming, 1994.
  11. King RD, Muggleton SH, Lewis RA, Sternberg MJE, Drug design by machine learning: the use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase. Proceedings of the National Academy of Sciences USA, 1992, Vol. 89, No. 23, Pages 11322-11326. (doi)
  12. Muggleton SH, Inductive logic programming. New Generation Computing, 1991, Volume 8, Number 4, 295-318. (doi)