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For: Wang Z, Chen J, Hong H. Applicability Domains Enhance Application of PPARγ Agonist Classifiers Trained by Drug-like Compounds to Environmental Chemicals. Chem Res Toxicol 2020;33:1382-1388. [DOI: 10.1021/acs.chemrestox.9b00498] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Number Cited by Other Article(s)
1
Zhao L, Xue Q, Zhang H, Hao Y, Yi H, Liu X, Pan W, Fu J, Zhang A. CatNet: Sequence-based deep learning with cross-attention mechanism for identifying endocrine-disrupting chemicals. JOURNAL OF HAZARDOUS MATERIALS 2024;465:133055. [PMID: 38016311 DOI: 10.1016/j.jhazmat.2023.133055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 11/02/2023] [Accepted: 11/20/2023] [Indexed: 11/30/2023]
2
Cao H, Peng J, Zhou Z, Yang Z, Wang L, Sun Y, Wang Y, Liang Y. Investigation of the Binding Fraction of PFAS in Human Plasma and Underlying Mechanisms Based on Machine Learning and Molecular Dynamics Simulation. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023;57:17762-17773. [PMID: 36282672 DOI: 10.1021/acs.est.2c04400] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
3
Tan H, Gao P, Luo Y, Gou X, Xia P, Wang P, Yan L, Zhang S, Guo J, Zhang X, Yu H, Shi W. Are New Phthalate Ester Substitutes Safer than Traditional DBP and DiBP? Comparative Endocrine-Disrupting Analyses on Zebrafish Using In Vivo, Transcriptome, and In Silico Approaches. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023;57:13744-13756. [PMID: 37677100 DOI: 10.1021/acs.est.3c03282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/09/2023]
4
Liu W, Wang Z, Chen J, Tang W, Wang H. Machine Learning Model for Screening Thyroid Stimulating Hormone Receptor Agonists Based on Updated Datasets and Improved Applicability Domain Metrics. Chem Res Toxicol 2023. [PMID: 37209109 DOI: 10.1021/acs.chemrestox.3c00074] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
5
Wu Y, Li M, Shen J, Pu X, Guo Y. A consensual machine-learning-assisted QSAR model for effective bioactivity prediction of xanthine oxidase inhibitors using molecular fingerprints. Mol Divers 2023:10.1007/s11030-023-10649-z. [PMID: 37043162 DOI: 10.1007/s11030-023-10649-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 04/06/2023] [Indexed: 04/13/2023]
6
Xu X, Wang C, Gui B, Yuan X, Li C, Zhao Y, Martyniuk CJ, Su L. Application of machine learning to predict the inhibitory activity of organic chemicals on thyroid stimulating hormone receptor. ENVIRONMENTAL RESEARCH 2022;212:113175. [PMID: 35351457 DOI: 10.1016/j.envres.2022.113175] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 03/04/2022] [Accepted: 03/22/2022] [Indexed: 06/14/2023]
7
Wang H, Wang Z, Chen J, Liu W. Graph Attention Network Model with Defined Applicability Domains for Screening PBT Chemicals. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022;56:6774-6785. [PMID: 35475611 DOI: 10.1021/acs.est.2c00765] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
8
Ramaprasad ASE, Smith MT, McCoy D, Hubbard AE, La Merrill MA, Durkin KA. Predicting the binding of small molecules to nuclear receptors using machine learning. Brief Bioinform 2022;23:6563938. [PMID: 35383362 PMCID: PMC9116378 DOI: 10.1093/bib/bbac114] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 03/07/2022] [Accepted: 03/09/2022] [Indexed: 12/14/2022]  Open
9
Nakarin F, Boonpalit K, Kinchagawat J, Wachiraphan P, Rungrotmongkol T, Nutanong S. Assisting Multitargeted Ligand Affinity Prediction of Receptor Tyrosine Kinases Associated Nonsmall Cell Lung Cancer Treatment with Multitasking Principal Neighborhood Aggregation. Molecules 2022;27:molecules27041226. [PMID: 35209011 PMCID: PMC8878292 DOI: 10.3390/molecules27041226] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 01/30/2022] [Accepted: 01/31/2022] [Indexed: 11/16/2022]  Open
10
Wang Z, Chen J, Hong H. Developing QSAR Models with Defined Applicability Domains on PPARγ Binding Affinity Using Large Data Sets and Machine Learning Algorithms. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021;55:6857-6866. [PMID: 33914508 DOI: 10.1021/acs.est.0c07040] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
11
Tang W, Chen J, Hong H. Development of classification models for predicting inhibition of mitochondrial fusion and fission using machine learning methods. CHEMOSPHERE 2020;273:128567. [PMID: 34756375 DOI: 10.1016/j.chemosphere.2020.128567] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 10/03/2020] [Accepted: 10/06/2020] [Indexed: 06/13/2023]
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