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Proceedings of the National Academy of Sciences of the United States of America|December 1, 1992
Drug design by machine learning: the use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductaseR D King, S Muggleton, R A Lewis, et al.
Faraday Discussions|January 1, 1992
Modelling the structure and function of enzymes by machine learningM J Sternberg, R A Lewis, R D King, et al.
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|June 29, 1994
Application of machine learning to structural molecular biologyM J Sternberg, R D King, R A Lewis, et al.
Protein Engineering|October 1, 1992
Protein secondary structure prediction using logic-based machine learningS Muggleton, R D King, M J Sternberg
Protein Science : a Publication of the Protein Society|November 1, 1996
Identification and application of the concepts important for accurate and reliable protein secondary structure predictionR D King, M J Sternberg
Journal of Molecular Biology|November 20, 1990
Machine learning approach for the prediction of protein secondary structureR D King, M J Sternberg
Protein Engineering|November 1, 1994
On the use of machine learning to identify topological rules in the packing of beta-strandsR D King, D A Clark, J Shirazi, et al.
Proceedings. International Conference on Intelligent Systems for Molecular Biology|January 1, 1994
Inductive logic programming used to discover topological constraints in protein structuresR D King, D A Clark, J Shirazi, et al.
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