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Table 4 Results (Top 1, 5 and 10 ranks) using PubChem formula queries on three additional datasets

From: MetFrag relaunched: incorporating strategies beyond in silico fragmentation

Weight term

Score Term

Weights

\(\omega _{{\mathrm{Frag}}}\)

\(S_{C_{{\mathrm{Frag}}}}\)

1

1

1

0

1

0

0

\(\omega _{{\mathrm{RTs}}}\)

\(S_{C_{{\mathrm{RT}}}}\)

1

1

0

1

0

1

0

\(\omega _{{\mathrm{Refs}}}\)

\(S_{C_{{\mathrm{Refs}}}}\)

1

0

1

1

0

0

1

Dataset

Metric

Ranks

UF (n = 225)

Top 1 ranks

164 (73 %)

9

163

159

3

2

157

UF (n = 225)

Top 5 ranks

186 (83 %)

48

189

189

36

13

199

UF (n = 225)

Top 10 ranks

191 (53 %)

77

196

192

61

25

204

EQex (n = 289)

Top 1 ranks

235 (81 %)

33

232

230

26

11

223

EQex (n = 289)

Top 5 ranks

263 (91 %)

87

260

258

88

38

276

EQex (n = 289)

Top 10 ranks

270 (93 %)

132

269

263

139

55

280

EQexPlus (n = 310)

Top 1 ranks

190 (61 %)

32

183

182

21

8

181

EQexPlus (n = 310)

Top 5 ranks

238 (77 %)

84

246

238

83

28

243

EQexPlus (n = 310)

Top 10 ranks

254 (82 %)

115

258

247

121

37

256

  1. The weights indicate where ranking parameters were included (1) or excluded (0) from the candidate ranking. Retention time score calculation was performed using the XLOGP3 values of PubChem. \(\omega _{{\mathrm{Refs}}} \cdot S_{C_{{\mathrm{Refs}}}} = \omega _{{\mathrm{Refs}}} \cdot S_{C_{{\mathrm{PNP + PPC}}}}\). See text for explanations