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For: Pérez Santín E, Rodríguez Solana R, González García M, García Suárez MDM, Blanco Díaz GD, Cima Cabal MD, Moreno Rojas JM, López Sánchez JI. Toxicity prediction based on artificial intelligence: A multidisciplinary overview. WIREs Comput Mol Sci 2021;11. [DOI: 10.1002/wcms.1516] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 9.0] [Reference Citation Analysis]
Number Citing Articles
1 Zhao Q, Zhu L, Wang S, Gao Y, Jin F. Molecular mechanism of the anti-inflammatory effects of plant essential oils: A systematic review. Journal of Ethnopharmacology 2023;301:115829. [DOI: 10.1016/j.jep.2022.115829] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
2 Khan K, Kumar V, Colombo E, Lombardo A, Benfenati E, Roy K. Intelligent consensus predictions of bioconcentration factor of pharmaceuticals using 2D and fragment-based descriptors. Environment International 2022;170:107625. [DOI: 10.1016/j.envint.2022.107625] [Reference Citation Analysis]
3 Shi H, Li Y, Chen Y, Qin Y, Tang Y, Zhou X, Zhang Y, Wu Y. ToxMVA: An end-to-end multi-view deep autoencoder method for protein toxicity prediction. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.106322] [Reference Citation Analysis]
4 Martínez MJ, Sabando MV, Soto AJ, Roca C, Requena-Triguero C, Campillo NE, Páez JA, Ponzoni I. Multitask Deep Neural Networks for Ames Mutagenicity Prediction. J Chem Inf Model 2022. [PMID: 36066065 DOI: 10.1021/acs.jcim.2c00532] [Reference Citation Analysis]
5 Jeong J, Choi J. Artificial Intelligence-Based Toxicity Prediction of Environmental Chemicals: Future Directions for Chemical Management Applications. Environ Sci Technol 2022. [PMID: 35666838 DOI: 10.1021/acs.est.1c07413] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
6 Qadeer A, Kirsten KL, Ajmal Z, Jiang X, Zhao X. Alternative Plasticizers As Emerging Global Environmental and Health Threat: Another Regrettable Substitution? Environ Sci Technol 2022. [PMID: 34995444 DOI: 10.1021/acs.est.1c08365] [Cited by in Crossref: 14] [Cited by in F6Publishing: 17] [Article Influence: 14.0] [Reference Citation Analysis]
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8 Chen T, Yu S. The review of food safety inspection system based on artificial intelligence, image processing, and robotic. Food Sci Technol. [DOI: 10.1590/fst.35421] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
9 Sinha M, G P, Sachan DK, Parthasarathi R. Artificial Intelligence in Clinical Toxicology. Artificial Intelligence in Medicine 2021. [DOI: 10.1007/978-3-030-58080-3_137-1] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]