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/NODescriptors symbolsName of descriptor(s)Class

1AATS5eAverage Broto-Moreau autocorrelation - lag 5 / weighted by Sanderson electronegativities2D
2VR1_DzsRandic-like eigenvector-based index from Barysz matrix / weighted by I-state2D
3SpMin7_BheSmallest absolute eigenvalue of Burden modified matrix - n 7 / weighted by relative Sanderson electronegativities2D
4TDB9e3D topological distance based autocorrelation - lag 9 / weighted by Sanderson electronegativities3D
5RDF110sRadial distribution function - 110 / weighted by relative I-state3D