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In silico prediction of persistent, mobile, and toxic pharmaceuticals (PMT): A case study in São Paulo Metropolitan Region, Brazil

Vinicius Roveri, Luciana Lopes Guimarães

2022Computational Toxicology20 citationsDOI

Topics & Concepts

Quantitative structure–activity relationshipContext (archaeology)In silicoToolboxApplicability domainEnvironmental scienceChemistryComputer scienceMachine learningGeographyArchaeologyBiochemistryGeneProgramming languagePharmaceutical and Antibiotic Environmental ImpactsChemistry and Chemical EngineeringEffects and risks of endocrine disrupting chemicals
In silico prediction of persistent, mobile, and toxic pharmaceuticals (PMT): A case study in São Paulo Metropolitan Region, Brazil | Litcius