
Apply an Enzyme to a Glycan
apply_enzyme.RdThis function simulates the action of an enzyme on a glycan. It returns all possible products generated by the enzyme with the given glycans.
Arguments
- glycans
A
glyrepr::glycan_structure(), or a character vector of glycan structure strings supported byglyparse::auto_parse().- enzyme
An
enzyme()or a gene symbol.- return_list
If
NULL(default), return a list ofglyrepr::glycan_structure()whenglycanshas length greater than 1, and a singleglyrepr::glycan_structure()whenglycanshas length 1. Set toTRUEto always return a list. This can be useful when you are working programmatically with unknown input length. Note that whenreturn_list = FALSEandlength(glycans) > 1, an error will be thrown.- structure_level
Output structure level.
"intact"keeps the current behavior and returns products with exact linkages."topological"removes linkages from products while preserving residue identities."partial"classifies inputs with incomplete linkage or anomer information; it is not a generated-output option. The requested level cannot be lower-resolution than the input glycans.
Value
A glyrepr::glycan_structure() vector, or a list of such vectors.
Important notes
Here are some important notes for all functions in the glyenzy package.
Applicability
Known-enzyme algorithms and enzyme information in glyenzy are applicable only to humans. Curated coverage is strongest for N-glycans and O-glycans and also includes selected glycosphingolipid headgroups and other glycan contexts. Lipid and protein aglycones are not represented, so glycolipid rules model the carbohydrate headgroup with ceramide omitted. Results may be inaccurate for unsupported glycan contexts or other species (e.g., plants, insects).
Inclusiveness
The algorithm takes an intentionally inclusive approach, assuming that all possible isoenzymes capable of catalyzing a given reaction may be involved. Therefore, results should be interpreted with caution.
For example, in humans, detection of the motif "Neu5Ac(a2-3)Gal(b1-" will return both "ST3GAL3" and "ST3GAL4". In reality, only one of them might be active, depending on factors such as tissue specificity.
Concrete glycans by default
Most functions only work for glycans containing concrete residues
(e.g., "Glc", "GalNAc"), and not for glycans with generic
residues (e.g., "Hex", "HexNAc").
Inputs with generic or mixed residues are supported where explicitly
documented, such as trace_biosynthesis() and path_biosynthesis().
Substituents
Sulfate substituents are supported. Other substituents, such as
phosphorylation and methylation, are not supported. Use
glyrepr::remove_substituents() when unsupported substituents are present.
Incomplete or non-concrete glycan structures
If the glycan structure is incomplete, partially degraded, or contains
generic or mixed residues, the result may be misleading. Glycans with a
glyrepr::get_structure_level() other than "intact", or with a
glyrepr::get_mono_type() other than "concrete", are matched with the
lenient motif matching mode in glymotif. A warning is raised because enzyme
predictions may be less reliable.
Starting points
For known-enzyme path inference:
For N-glycans, the starting structure is assumed to be "Glc(3)Man(9)GlcNAc(2)", the N-glycan precursor transferred to Asn by OST.
For O-GalNAc glycans, the starting structure is assumed to be "GalNAc(a1-".
For O-GlcNAc glycans, the starting structure is assumed to be "GlcNAc(b1-".
For O-Man glycans, the starting structure is assumed to be "Man(a1-".
For O-Fuc glycans, the starting structure is assumed to be "Fuc(a1-".
For O-Glc glycans, the starting structure is assumed to be "Glc(b1-".
For GlcCer glycans, the starting structure is assumed to be "Glc(b1-",
For GalCer glycans, the starting structure is assumed to be "Gal(b1-"
Examples
library(glyrepr)
library(glyparse)
# Use `glycan_structure()` and `enzyme()`
glycan <- auto_parse("GlcNAc(b1-2)Man(a1-3)[Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAc(b1-")
apply_enzyme(glycan, enzyme("MGAT3"))
#> <glycan_structure[1]>
#> [1] GlcNAc(b1-2)Man(a1-3)[GlcNAc(b1-4)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAc(b1-
#> # Unique structures: 1
# Or use characters directly
apply_enzyme("GlcNAc(b1-2)Man(a1-3)[Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAc(b1-", "MGAT3")
#> <glycan_structure[1]>
#> [1] GlcNAc(b1-2)Man(a1-3)[GlcNAc(b1-4)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAc(b1-
#> # Unique structures: 1
# Vectorized input
glycans <- c(
"GlcNAc(b1-2)Man(a1-3)[Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAc(b1-",
"GlcNAc(b1-2)Man(a1-3)[GlcNAc(b1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAc(b1-"
)
apply_enzyme(glycans, "MGAT3")
#> [[1]]
#> <glycan_structure[1]>
#> [1] GlcNAc(b1-2)Man(a1-3)[GlcNAc(b1-4)][Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAc(b1-
#> # Unique structures: 1
#>
#> [[2]]
#> <glycan_structure[1]>
#> [1] GlcNAc(b1-2)Man(a1-3)[GlcNAc(b1-4)][GlcNAc(b1-2)Man(a1-6)]Man(b1-4)GlcNAc(b1-4)GlcNAc(b1-
#> # Unique structures: 1
#>