APA (7th ed.) Citation

King, R. D., Muggleton, S., Lewis, R. A., & Sternberg, M. J. (1992). 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 - PNAS, 89(23), 11322. https://doi.org/10.1073/pnas.89.23.11322

Chicago Style (17th ed.) Citation

King, R D., S. Muggleton, R A. Lewis, and M J. Sternberg. "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 - PNAS 89, no. 23 (1992): 11322. https://doi.org/10.1073/pnas.89.23.11322.

MLA (9th ed.) Citation

King, R D., et al. "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 - PNAS, vol. 89, no. 23, 1992, p. 11322, https://doi.org/10.1073/pnas.89.23.11322.