Q-RASAR

The quantitative Read-Across Structure-Activity Relationship (q-RASAR) concept has been developed by the DTC Laboratory, Jadavpur University by merging Read-Across and QSAR. It is a statistical modeling approach that uses the similarity and error-based measures as descriptors in addition to the usual structural and physicochemical descriptors, and it has been shown to enhance the external predictivity of QSAR/QSPR models. The novel quantitative read-across structure-activity relationship (q-RASAR) approach combines the advantages of both QSAR and read-across, thus resulting in enhanced predictivity for the same level of chemical information used.

Source: Wikipedia — Q-RASAR (CC BY-SA 4.0)

Q-RASAR

The quantitative Read-Across Structure-Activity Relationship (q-RASAR) concept has been developed by the DTC Laboratory, Jadavpur University by merging Read-Across and QSAR. It is a statistical modeling approach that uses the similarity and error-based measures as descriptors in addition to the usual structural and physicochemical descriptors, and it has been shown to enhance the external predictivity of QSAR/QSPR models. The novel quantitative read-across structure-activity relationship (q-RASAR) approach combines the advantages of both QSAR and read-across, thus resulting in enhanced predictivity for the same level of chemical information used.

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Source: Wikipedia "Q-RASAR" · CC BY-SA 4.0

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