Table 31 Actual vs predicted molar volume of selected drugs.

From: Graph theoretic and machine learning approaches in molecular property prediction of bladder cancer therapeutics

Drug

Actual Molar Volume

Predicted Molar Volume

Lenalidomide

177.5

164.1250763

Thalidomide

161

164.0933075

Cabozantinib

359

377.567688

Sorafenib

319.5

322.9491272

Sunitinib

324.1

286.0852966

Axitinib

284.8

284.7854919

Lenvatinib

280.6

297.2623596

Erlotinib

315.4

305.878479

Neratinib

416.8

399.3868408

Ifosfamide

195.7

148.6885376

Cytarabine

128.4

153.9259033

Docetaxel

585.7

565.6398926

Paclitaxel

610.6

619.2505493

Valrubicin

469.8

482.9135437

Mitomycin C

213.7

202.4745178

Erdafitinib

389.7

373.9685364

Gemcitabine

142.3

152.5334015