MLchartDataset catalogue

Three-dimensional quantitative structure-activity relationships

Term · Chemistry · MLC-T-CHM-012024

A computational method used in drug design to correlate the three-dimensional structural features of a set of molecules with their biological activity. This approach involves aligning molecules and then using statistical techniques to identify spatial regions where variations in physicochemical properties influence activity. CoMFA (Comparative Molecular Field Analysis) is a prominent example of this methodology.

Table 1. Record
IdentifierMLC-T-CHM-012024
FieldChemistry
SubjectChemistry and Human Health
ReferencesPAC, 1997, 69, 1137. 'Glossary of terms used in computational drug design (IUPAC Recommendations 1997)' on page 1142 (https://doi.org/10.1351/pac199769051137)
Record as JSON
{
  "id": "MLC-T-CHM-012024",
  "term": "Three-dimensional quantitative structure-activity relationships",
  "field": "Chemistry",
  "definition": "A computational method used in drug design to correlate the three-dimensional structural features of a set of molecules with their biological activity. This approach involves aligning molecules and then using statistical techniques to identify spatial regions where variations in physicochemical properties influence activity. CoMFA (Comparative Molecular Field Analysis) is a prominent example of this methodology.",
  "subject": "Chemistry and Human Health",
  "references": [
    "PAC, 1997, 69, 1137. 'Glossary of terms used in computational drug design (IUPAC Recommendations 1997)' on page 1142 (https://doi.org/10.1351/pac199769051137)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/three-dimensional-quantitative-structure-activity-relationships/"
}

Record 12,824 of 13,676 in Chemistry terminology (MLC-0109). Request the full dataset.