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Cited by in F6Publishing
For: Liu A, Walter M, Wright P, Bartosik A, Dolciami D, Elbasir A, Yang H, Bender A. Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure. Biol Direct 2021;16:6. [PMID: 33461600 DOI: 10.1186/s13062-020-00285-0] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Trapotsi M, Hosseini-gerami L, Bender A. Computational analyses of mechanism of action (MoA): data, methods and integration. RSC Chem Biol . [DOI: 10.1039/d1cb00069a] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Adeluwa T, McGregor BA, Guo K, Hur J. Predicting Drug-Induced Liver Injury Using Machine Learning on a Diverse Set of Predictors. Front Pharmacol 2021;12:648805. [PMID: 34483896 DOI: 10.3389/fphar.2021.648805] [Reference Citation Analysis]
3 Seo S, Kim Y, Han HJ, Son WC, Hong ZY, Sohn I, Shim J, Hwang C. Predicting Successes and Failures of Clinical Trials With Outer Product-Based Convolutional Neural Network. Front Pharmacol 2021;12:670670. [PMID: 34220508 DOI: 10.3389/fphar.2021.670670] [Reference Citation Analysis]
4 Chen Z, Jiang Y, Zhang X, Zheng R, Qiu R, Sun Y, Zhao C, Shang H. ResNet18DNN: prediction approach of drug-induced liver injury by deep neural network with ResNet18. Brief Bioinform 2021:bbab503. [PMID: 34882224 DOI: 10.1093/bib/bbab503] [Reference Citation Analysis]
5 Lesiński W, Mnich K, Rudnicki WR. Prediction of Alternative Drug-Induced Liver Injury Classifications Using Molecular Descriptors, Gene Expression Perturbation, and Toxicology Reports. Front Genet 2021;12:661075. [PMID: 34276771 DOI: 10.3389/fgene.2021.661075] [Reference Citation Analysis]
6 Ivanov SM, Lagunin AA, Filimonov DA, Poroikov VV. Relationships between the Structure and Severe Drug-Induced Liver Injury for Low, Medium, and High Doses of Drugs. Chem Res Toxicol 2022. [PMID: 35172101 DOI: 10.1021/acs.chemrestox.1c00307] [Reference Citation Analysis]
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