Table 8 Statistical parameters and regression models for F(G).

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

Models

R

\(R^2\)

P-value

Density = \(0.6238 + 0.0025 \times F(G)\)

0.7980

0.6368

0.0057

Boiling Point = \(235.1858 + 1.1652 \times F(G)\)

0.7594

0.5766

0.0108

Flash Point = \(96.0633 + 0.7046 \times F(G)\)

0.7591

0.5763

0.0109

Polarizability = \(5.3773 + 0.1405 \times F(G)\)

0.8705

0.7577

0.0011

Molar Volume = \(90.0338 + 0.8894 \times F(G)\)

0.8736

0.7631

0.0010

BCF = \(-124.2773 + 0.6550 \times F(G)\)

0.5480

0.3003

0.1010

KOC = \(-132.8461 + 0.7004 \times F(G)\)

0.5653

0.3196

0.0886

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