Step 1: Understanding QSAR and 3D QSAR
- QSAR (Quantitative Structure-Activity Relationship) is a computational technique that predicts biological activity based on the structural properties of molecules.
- 3D QSAR extends QSAR by incorporating three-dimensional molecular features, such as steric, electrostatic, and hydrophobic interactions.
Step 2: Evaluating the Given Options
- (A) Only drugs of the same structural class should be studied by 3D QSAR or QSAR. (Incorrect Statement)
- This statement is incorrect because 3D QSAR can study drugs of different structural classes by analyzing their three-dimensional properties, rather than relying solely on chemical structure.
- (B) 3D QSAR has a predictive quality unlike QSAR. (True Statement)
- Both QSAR and 3D QSAR are predictive models, but 3D QSAR provides more refined predictive capabilities due to its incorporation of 3D molecular features.
- (C) Experimental parameters are not required by 3D QSAR, but are for QSAR. (True Statement)
- Traditional QSAR models rely heavily on experimental values such as pKa, logP, and molecular weight, while 3D QSAR utilizes computational molecular modeling.
- (D) Results can be shown graphically in 3D QSAR, but not with QSAR. (True Statement)
- 3D QSAR allows visualization of molecular features using contour maps and surface plots, which is not typically possible in traditional QSAR.
Step 3: Selecting the Correct Answer
- Since option (A) is incorrect, it is the correct answer to the question.