Table 9 Statistical parameters and regression models for SS(G).

From: A python approach for prediction of physicochemical properties of anti-arrhythmia drugs using topological descriptors

Models

R

\(R^2\)

P-value

Density = \(0.6531 + 0.0214 \times SS(G)\)

0.7577

0.5741

0.0111

Boiling Point = \(224.6277 + 10.8397 \times SS(G)\)

0.7912

0.6261

0.0064

Flash Point = \(89.6784 + 6.5549 \times SS(G)\)

0.7910

0.6257

0.0064

Polarizability = \(4.3743 + 1.2960 \times SS(G)\)

0.8995

0.8092

0.0004

Molar Volume = \(86.9927 + 8.0740 \times SS(G)\)

0.8882

0.7889

0.0006

BCF = \(-123.4008 + 5.8215 \times SS(G)\)

0.5455

0.2976

0.1029

KOC = \(-132.2337 + 6.2385 \times SS(G)\)

0.5639

0.3180

0.0895

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