February 28, 2020 article Open access Using Machine Learning Methods and Structural Alerts for Prediction of Mitochondrial Toxicity Molecular Informatics DOI: 10.1002/minf.202000005 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 62 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Machine Learning-Based QSAR Models and Structural Alerts for Prediction of Mitochondrial Dysfunction 2023 Computational methods in engineering & the sciences book-chapter Computer Science Computational Drug Discovery Methods 1 citations Setting the stage for next-generation risk assessment with non-animal approaches: the EU-ToxRisk project experience 2020 Archives of Toxicology article Veterinary Animal testing and alternatives Open access 60 citations Identification of mitochondrial toxicants by combined in silico and in vitro studies – A structure-based view on the adverse outcome pathway 2020 Computational Toxicology article Computer Science Computational Drug Discovery Methods Open access 22 citations 3 results References 0