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CORAL: Development of a hybrid descriptor based QSTR model to predict the toxicity of dioxins and dioxin-like compounds with correlation intensity index and consensus modelling
Affiliation:1. Department of Chemistry, Kurukshetra University, Kurukshetra, Haryana 136119, India;2. Department of Pharmaceutical Sciences, Guru Jambheshwar University of Science and Technology, Hisar, Haryana 125001, India;3. Department of Chemistry, Maharshi Dayanand University, Rohtak, Haryana 124001, India;1. Departamento de Biología, Instituto Nacional de Investigaciones Nucleares (ININ), Carretera México-Toluca, S/N, la Marquesa, Ocoyoacac CP. 52750, México;2. Facultad de Ciencias, Universidad Autónoma del Estado de México, Toluca, Edo Mex., México;1. Department of Chemistry, Maharshi Dayanand University, Rohtak 124001, India;2. Department of Chemistry, DCR University of Science & Technology, Murthal, Haryana 131039, India;3. Department of Chemistry, Kurukshetra University Kurukshetra, 136119 Haryana, India;1. Department of Chemistry, Maharshi Dayanand University, Rohtak 124001, India;2. Department of Chemistry, DCR University of Science & Technology, Murthal, Haryana 131039, India;3. Department of Chemistry, Kurukshetra University Kurukshetra, 136119 Haryana, India;1. Functional Biopolymer Lab, Department of Biochemistry, CSIR-Central Food Technological Research Institute, Mysuru 570020, Karnataka, India;2. Reproductive Physiology Unit, Department of Zoology, Bangalore University, 560056 Karnataka, India;1. Laboratory of Environmental Chemistry and Toxicology, Environmental Health Sciences Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, Milano, Italy;2. Institute for Risk Assessment Sciences (IRAS), Utrecht University, PO Box 80177, 3508 TD Utrecht, the Netherlands;3. Scientific Committee and Emerging Risks Unit, European Food Safety Authority, Via Carlo Magno 1A, Parma, Italy
Abstract:
Keywords:QSTR  CORAL  CII  IIC  Dioxins  Consensus modelling
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