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Table 6 Statistical parameter SE of selected TI w.r.t to different physiochemical properties

From: Exploring the role of topological descriptors to predict physicochemical properties of anti-HIV drugs by using supervised machine learning algorithms

PP

M1 (G)

M2 (G)

H (G)

F (G)

SS (G)

ABC (G)

RI (G)

SC (G)

GA (G)

HZ (G)

ReZ1 (G)

ReZ2 (G)

MW

50.098

64.993

21.4217

73.6889

38.810

34.0248

22.3184

26.6421

31.4443

86.6267

45.1974

86.5371

Comp

46.022

53.155

80.4328

53.1921

57.622

56.7448

72.2319

70.3806

67.3475

109.336

54.8500

75.7839

Den

0.1545

0.1609

0.1386

0.1678

0.1472

0.1472

0.1417

0.1419

0.1429

0.1814

0.1498

0.1726

FP

39.990

50.854

30.0609

53.4796

35.212

31.2538

29.1692

30.3989

32.4264

71.2495

39.2341

65.1496

MV

61.389

74.847

30.1454

83.3679

49.639

46.1817

34.1257

37.1889

41.4316

95.7486

55.6984

94.3075

ST

6.7244

6.8226

6.2991

7.0814

6.5623

6.5493

6.3240

6.4041

6.4678

6.8008

6.6074

7.0845

Pol

7.8448

9.6645

3.8262

10.7309

6.2941

5.8387

4.3806

4.6934

5.2106

12.4898

7.1077

12.2490

BP

66.111

84.071

49.6893

88.4150

58.209

51.6654

48.2170

50.2493

53.6010

117.788

64.8577

107.707

E

10.305

12.677

8.0765

13.1314

9.3606

8.3882

7.8016

8.2202

8.7636

16.1544

10.2498

15.7389