Research Article
A Derived QSAR Model for Predicting Some Compounds as Potent Antagonist against Mycobacterium tuberculosis: A Theoretical Approach
Table 3
List of some descriptors used in the QSAR optimization model.
| S/NO | Descriptors symbols | Name of descriptor(s) | Class |
| 1 | AATS5e | Average Broto-Moreau autocorrelation - lag 5 / weighted by Sanderson electronegativities | 2D | 2 | VR1_Dzs | Randic-like eigenvector-based index from Barysz matrix / weighted by I-state | 2D | 3 | SpMin7_Bhe | Smallest absolute eigenvalue of Burden modified matrix - n 7 / weighted by relative Sanderson electronegativities | 2D | 4 | TDB9e | 3D topological distance based autocorrelation - lag 9 / weighted by Sanderson electronegativities | 3D | 5 | RDF110s | Radial distribution function - 110 / weighted by relative I-state | 3D |
|
|