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Table 2 Benchmark comparing Glycosylator and doGlycans. The average minimum distance between sequons was computed between the closest pairs of asparagine Cα atoms. The number of issues accounts for errors in glycan connectivity and nomenclature due to steric clashes. The potential energy was calculated after 5000 steps of conjugate gradient energy minimization

From: Glycosylator: a Python framework for the rapid modeling of glycans

Virus

 

Influenza A

HIV-1

Delta-coronavirus

PDB id

 

1 ha0

5fyl (gp120)

6bfu

Number of sequons

 

6

20

21

Average minimum distance between sequons

[Ã…]

21.60 ± 8.88

10.47 ± 4.74

14.71 ± 4.11

Glycosylator

Number of issues

0

0

0

Potential energy [kcal/mol]

− 9856.12

2524.05

− 5526.44

DoGlycans

Number of issues

0

4

6

Potential energy [kcal/mol]

− 9678.14

6055.20

− 1954.89

  1. Better performance are highlighted in bold