Have you ever heard of QSAR? Let's see if you can pass this QSAR Classification Model quiz? QSAR stands for Quantitative Structure acting relationship models are regression or classification models used in the chemical and biological sciences and engineering. It is based on the idea that when we change the composition of a molecule, then the substance's action or property will be altered. Take this 'QSAR Classification Model quiz' and learn more about QSAR.
The number of compounds tested
The regression or correlation coefficient
Mean Square Error
The F Statistic
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0.1
1
100
0
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3.32
1.98
1.53
2.12
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Molar refractivity is a steric factor
Molar refractivity is an electronic factor
Molar refractivity is a hydrophobic factor
Molar refractivity is a stereoelectronic factor
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It is electron donating
It is electron withdrawing
It is neutral
It is hydrophobic
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The electronic effect of a substituent
The substituent hydrophobicity constant
The hydrophobicity of the molecule
Steric parameter
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The sum of the hydrophobic factors corresponding to the substituent X present in the molecule.
The sum of the electronic factors corresponding to the substituent X present in the molecule
The largest hydrophobic factor of the substituent X present in the molecule.
The smallest hydrophobic factor of the substituent X present in the molecule.
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3D QSAR has a predictive quality unlike QSAR.
Experimental parameters are not required by 3D QSAR, but are for QSAR.
Only drugs of the same structural class should be studied by 3D QSAR or QSAR.
3D QSAR has a predictive quality unlike QSAR.
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It indicates that activity rises to a maximum value as πsum increases to an optimum value, then falls again as sum increases beyond that value.
It indicates that activity falls to a minimum value as πsum increases to an optimum value, then rises again as πsum increases beyond that value.
It indicates that activity falls to a minimum value as πsum increases to an optimum value, then rises again as πsum increases beyond that value.
It indicates that activity rises to a maximum value as πsum decreases to a certain value, then falls again as πsum decreases beyond that value.
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