Table 5 Experimental physiochemical properties of selected drugs.

From: Computational approaches in drug chemistry leveraging python powered QSPR study of antimalaria compounds by using artificial neural networks

Drugs

D

BP

FP

IR

MR

logP

logD

POL

ST

MV

PS

EV

A1

1.3

537.1

181.3

1.584

107.5

4.88

3.27

42.6

53.6

321.4

83

85.7

A2

1.4

535

277.3

1.653

99.5

6.18

4.24

39.5

60.5

271.8

54

85.4

A3

1.2

357.5

140.5

1.518

76.5

3.07

3.08

30.3

40

252.5

46

57.9

A4

1.2

372.4

146

1.516

81.2

3.60

3.36

32.2

39.8

268.8

46

59.5

A5

1.2

495.9

253.7

1.638

95.8

3.44

-0.07

38

56

266.4

46

80.4

A6

1.2

389.9

172

1.533

70.3

2.27

2.79

27.9

43.5

226.5

54

63.9

A7

1.8

332.6

154.9

1.715

47.1

1.83

1.93

18.7

53.6

120

31

55.3

A8

1.6

460.2

232.1

1.670

59.1

1.26

1.21

23.4

59.9

158.3

77

72.1

A9

1.4

441.3

220.7

1.646

67.9

2.65

2.96

26.9

47.6

187.1

48

69.9

A10

1.1

451.1

226.6

1.616

80.5

2.67

-0.94

31.9

48

230.3

60

71

A11

1.0

358.8

255.7

1.492

68.6

4.86

3.91

27.2

33.2

236.4

37

66.4

A12

1.1

460.6

232.3

1.592

97.4

4.69

0.80

38.6

44

287.9

28

72.1

A13

1.4

415.7

205.2

1.519

83

2.87

0.20

32.9

36.5

273.4

45

70.5

A14

1.2

596.2

314.4

1.577

133.2

8.72

4.66

52.8

41.4

402

23

93.4

A15

1.3

642.5

342.3

1.634

151

11.37

6.55

59.9

51.9

422.3

23

99.6

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