GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm

P. Pfeffer, T. Fober, E. Hüllermeier, G. Klebe, Journal of Chemical Information and Modeling 50 (2010) 1644–1659.

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Journal Article | English
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Journal of Chemical Information and Modeling
Volume
50
Issue
9
Page
1644-1659
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Pfeffer P, Fober T, Hüllermeier E, Klebe G. GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm. Journal of Chemical Information and Modeling. 2010;50(9):1644-1659.
Pfeffer, P., Fober, T., Hüllermeier, E., & Klebe, G. (2010). GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm. Journal of Chemical Information and Modeling, 50(9), 1644–1659.
@article{Pfeffer_Fober_Hüllermeier_Klebe_2010, title={GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm}, volume={50}, number={9}, journal={Journal of Chemical Information and Modeling}, author={Pfeffer, P. and Fober, T. and Hüllermeier, Eyke and Klebe, G.}, year={2010}, pages={1644–1659} }
Pfeffer, P., T. Fober, Eyke Hüllermeier, and G. Klebe. “GARLig: A Fully Automated Tool for Subset Selection of Large Fragment Spaces via a Self-Adaptive Genetic Algorithm.” Journal of Chemical Information and Modeling 50, no. 9 (2010): 1644–59.
P. Pfeffer, T. Fober, E. Hüllermeier, and G. Klebe, “GARLig: A fully automated tool for subset selection of large fragment spaces via a self-adaptive genetic algorithm,” Journal of Chemical Information and Modeling, vol. 50, no. 9, pp. 1644–1659, 2010.
Pfeffer, P., et al. “GARLig: A Fully Automated Tool for Subset Selection of Large Fragment Spaces via a Self-Adaptive Genetic Algorithm.” Journal of Chemical Information and Modeling, vol. 50, no. 9, 2010, pp. 1644–59.

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