"iPADD: A Computational Tool for Predicting Potential Antidiabetic Drugs ..."

Xiao-Wei Liu et al. (2023)

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DOI: 10.1021/ACS.JCIM.3C00564

access: closed

type: Journal Article

metadata version: 2023-10-14

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Xiao-Wei Liu, Tian-Yu Shi, Dong Gao, Cai-Yi Ma, Hao Lin, Dan Yan, Ke-Jun Deng:
iPADD: A Computational Tool for Predicting Potential Antidiabetic Drugs Using Machine Learning Algorithms. J. Chem. Inf. Model. 63(15): 4960-4969 (2023)

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