%0 Journal Article %1 journals/jcisd/LiuSGMLYD23 %A Liu, Xiao-Wei %A Shi, Tian-Yu %A Gao, Dong %A Ma, Cai-Yi %A Lin, Hao %A Yan, Dan %A Deng, Ke-Jun %D 2023 %J J. Chem. Inf. Model. %K dblp %N 15 %P 4960-4969 %T iPADD: A Computational Tool for Predicting Potential Antidiabetic Drugs Using Machine Learning Algorithms. %U http://dblp.uni-trier.de/db/journals/jcisd/jcisd63.html#LiuSGMLYD23 %V 63

@article{journals/jcisd/LiuSGMLYD23, added-at = {2023-10-14T00:00:00.000+0200}, author = {Liu, Xiao-Wei and Shi, Tian-Yu and Gao, Dong and Ma, Cai-Yi and Lin, Hao and Yan, Dan and Deng, Ke-Jun}, biburl = {https://www.bibsonomy.org/bibtex/2ebb4aeb47d46487760c2cbd6d851c8f3/dblp}, ee = {https://doi.org/10.1021/acs.jcim.3c00564}, interhash = {616750c05dfad9e387279643b61ab817}, intrahash = {ebb4aeb47d46487760c2cbd6d851c8f3}, journal = {J. Chem. Inf. Model.}, keywords = {dblp}, month = {August}, number = 15, pages = {4960-4969}, timestamp = {2024-04-08T17:28:55.000+0200}, title = {iPADD: A Computational Tool for Predicting Potential Antidiabetic Drugs Using Machine Learning Algorithms.}, url = {http://dblp.uni-trier.de/db/journals/jcisd/jcisd63.html#LiuSGMLYD23}, volume = 63, year = 2023 }