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The interaction between Ligand-Receptor (L-R) to solve the pharmacological and toxicological problems of enantioselective molecules was studied as 3D Quantitative Structure-Activity Relationship (3D-QSAR). The biological activity of enantiomers of stereo isomeric molecules that differ in 3D can only be determined by the Local Reactive Descriptor (LRD). The parameters of the Pharmacophore (Pha) on the receptor side can be determined using LRDs of atoms of the molecule in 3D space. "Klopman index," which was brought to the literature as LRD by us, was compared with typical LRD descriptors such as atom charge, Fukui index, frontier orbital coefficients (HOMO/LUMO) in our Molecular Conformer Electron Topological (MCET) program. After predicting the 3D-QSAR model with the Leave One Out-Cross Validation (LOO-CV) technique on the molecules in the training set, the model was validated on the molecules in the external test set. Statistical results from both sets were evaluated for all LRDs, and the best results were obtained as Q 2 = 0.955 and R 2 = 0.964 in the Klopman index.

We applied the Klopman Index, the Local Reactive Descriptor (LRD), for 3-Dimensional (3D) interactions between the Ligand-Receptor (L-R), for some new pyrrole derivatives as antituberculosis agents for 4-Dimensional Quantitative Structure-Activity Relationship (4D-QSAR) investigations. The parameters of the receptor side belonging to the Pharmacophore (Pha), which consists of the interaction points suggested between L-R, were calculated in the Molecular Conformer Electron Topological (MCET) method we developed based on the LRD values on the ligand side. After the 4D-QSAR model was established with the Leave One Out Cross-Validation (LOO-CV) technique on the molecules in the training set, the model was confirmed on the molecules in the external test set. Statistical results obtained from both sets, Q 2 = 0.875 and R ext 2 = 0.918, respectively, were evaluated as satisfactory.