MLchartDataset catalogue

Computational toxicology

Term · Chemistry · MLC-T-CHM-002350

The application of computational methods and mathematical models to predict, analyze, and interpret toxicological data and mechanisms. This field uses approaches such as quantitative structure-activity relationships (QSAR), molecular modeling, and systems biology to assess the potential hazards of chemical substances. It aims to reduce the need for animal testing and accelerate risk assessment.

Table 1. Record
IdentifierMLC-T-CHM-002350
FieldChemistry
SubjectChemistry and Human Health
ReferencesPAC, 2007, 79, 1153. 'Glossary of terms used in toxicology, 2nd edition (IUPAC Recommendations 2007)' on page 1194 (https://doi.org/10.1351/pac200779071153)
Record as JSON
{
  "id": "MLC-T-CHM-002350",
  "term": "Computational toxicology",
  "field": "Chemistry",
  "definition": "The application of computational methods and mathematical models to predict, analyze, and interpret toxicological data and mechanisms. This field uses approaches such as quantitative structure-activity relationships (QSAR), molecular modeling, and systems biology to assess the potential hazards of chemical substances. It aims to reduce the need for animal testing and accelerate risk assessment.",
  "subject": "Chemistry and Human Health",
  "references": [
    "PAC, 2007, 79, 1153. 'Glossary of terms used in toxicology, 2nd edition (IUPAC Recommendations 2007)' on page 1194 (https://doi.org/10.1351/pac200779071153)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/computational-toxicology/"
}

Record 2,505 of 13,676 in Chemistry terminology (MLC-0109). Request the full dataset.