%0 Journal Article %1 Jimenez2018KDeep %A Jiménez, José %A Škalič, Miha %A Martínez-Rosell, Gerard %A De Fabritiis, Gianni %D 2018 %J Journal of Chemical Information and Modeling %K computational-chemistry machine-learning virtual-screening %N 2 %P 287-296 %R 10.1021/acs.jcim.7b00650 %T KDEEP: Protein–Ligand Absolute Binding Affinity Prediction via 3D-Convolutional Neural Networks %U /brokenurl# https://doi.org/10.1021/acs.jcim.7b00650 %V 58

@article{Jimenez2018KDeep, added-at = {2018-03-05T19:19:40.000+0100}, author = {Jiménez, José and Škalič, Miha and Martínez-Rosell, Gerard and De Fabritiis, Gianni}, biburl = {https://www.bibsonomy.org/bibtex/2eb8703298ce4dcc31d07296c7f2ef5bc/salotz}, doi = {10.1021/acs.jcim.7b00650}, eprint = {https://doi.org/10.1021/acs.jcim.7b00650}, interhash = {628fd48302b5df66ae0698b72dc68f4e}, intrahash = {eb8703298ce4dcc31d07296c7f2ef5bc}, journal = {Journal of Chemical Information and Modeling}, keywords = {computational-chemistry machine-learning virtual-screening}, note = {PMID: 29309725}, number = 2, pages = {287-296}, timestamp = {2018-03-05T19:19:40.000+0100}, title = {KDEEP: Protein–Ligand Absolute Binding Affinity Prediction via 3D-Convolutional Neural Networks}, url = {/brokenurl# https://doi.org/10.1021/acs.jcim.7b00650 }, volume = 58, year = 2018 }