Skip to contents

These functions are closely related to have_motif(). However, instead of returning logical values, they return the number of times the glycans have the motif(s).

  • count_motif() counts a single motif in multiple glycans

  • count_motifs() counts multiple motifs in multiple glycans

Usage

count_motif(
  glycans,
  motif,
  ...,
  alignment = NULL,
  ignore_linkages = FALSE,
  strict_sub = TRUE,
  match_degree = NULL,
  mode = c("strict", "lenient"),
  strict_floating = TRUE
)

count_motifs(
  glycans,
  motifs,
  ...,
  alignments = NULL,
  ignore_linkages = FALSE,
  strict_sub = TRUE,
  match_degree = NULL,
  mode = c("strict", "lenient"),
  strict_floating = TRUE
)

Arguments

glycans

One of:

motif

One of:

...

These dots must be empty and are used only to force optional arguments to be supplied by name.

alignment

A character string. Possible values are "substructure", "core", "terminal", and "whole". If not provided, the value will be decided based on the motif argument. If motif is a GGM motif name, the alignment in the database will be used. Otherwise, "substructure" will be used.

ignore_linkages

A logical value. If TRUE, linkages will be ignored in the comparison. Default is FALSE.

strict_sub

A logical value. If TRUE (default), substituents will be matched in strict mode, which means if the glycan has a substituent in some residue, the motif must have the same substituent to be matched.

match_degree

A logical vector indicating which motif nodes must match the glycan's in- and out-degree exactly. For have_motif(), count_motif(), and match_motif(), this must be a logical vector with length 1 or the number of motif nodes (length 1 is recycled). For have_motifs(), count_motifs(), and match_motifs(), this must be a list of logical vectors with length equal to motifs; each element follows the same length rules. When match_degree is provided, alignment and alignments are silently ignored.

mode

Matching mode. "strict" preserves the default behavior where glycans cannot be more obscure than motifs. "lenient" treats glycan-side obscure fields as compatible with more specific motif fields while still rejecting concrete mismatches.

strict_floating

A logical value. If TRUE (default), a motif is present only when it occurs in every conflict-free localization of any floating glycan parts or substituents. If FALSE, a motif is present when it occurs in at least one possible localization.

motifs

One of:

  • A glyrepr::glycan_structure() vector.

  • A glycan structure string vector, supported by glyparse::auto_parse().

  • A character vector of GGM database motif names (use db_motif_info() |> dplyr::filter(source_id == "GGM") to inspect resolvable motif names).

alignments

A character vector specifying alignment types for each motif. Can be a single value (applied to all motifs) or a vector of the same length as motifs.

Value

  • count_motif(): An integer vector indicating how many times each glycan has the motif.

  • count_motifs(): An integer matrix where rows correspond to glycans and columns correspond to motifs. Row names contain glycan identifiers and column names contain motif identifiers.

Details

This function actually perform v2f algorithm to get all possible matches between glycans and motif. However, the result is not necessarily the number of matches.

Think about the following example:

  • glycan: Gal(b1-?)[Gal(b1-?)]GlcNAc(b1-4)GlcNAc(b1-

  • motif: Gal(b1-?)[Gal(b1-?)]GlcNAc(b1-

To draw the glycan out:

Gal 1
   \ b1-? b1-4
    GlcNAc -- GlcNAc b1-
   / b1-?
Gal 2

To draw the motif out:

Gal 1
   \ b1-?
    GlcNAc b1-
   / b1-?
Gal 2

To differentiate the galactoses, we number them as "Gal 1" and "Gal 2" in both the glycan and the motif. The v2f subisomorphic algorithm will return two matches:

  • Gal 1 in the glycan matches Gal 1 in the motif, and Gal 2 matches Gal 2.

  • Gal 1 in the glycan matches Gal 2 in the motif, and Gal 2 matches Gal 1.

However, from a biological perspective, the two matches are the same. This function will take care of this, and return the "unique" number of matches.

For other details about the handling of monosaccharide, linkages, alignment, substituents, and implementation, see have_motif().

About Names

have_motif() and count_motif() perserve names from the input glycans vector.

have_motifs() and count_motifs() return a matrix with both row and column names. The row names are the glycan names, and the column names are the motif names.

Glycan names follow the same rule as have_motif() and count_motif().

Motif names have the following rules:

  1. If motifs have names, use the names.

  2. If motifs don't have names and are GGM database motif names (e.g. "N-glycan core"), use them.

  3. Otherwise, no colnames.

Floating parts and substituents

Glycans with unresolved floating parts or substituents are matched across every conflict-free localization allowed by their candidate-parent domains. strict_floating = TRUE requires a match in every localization, while strict_floating = FALSE requires a match in at least one localization. This setting is independent of mode, which controls residue and linkage obscurity.

count_motif() and count_motifs() return the minimum count across localizations in strict-floating mode and the maximum count otherwise. match_motif() and match_motifs() return the union of node mappings from every localization, using node indices from the original unresolved structure.

Motifs must be connected structures and therefore cannot themselves contain unresolved floating parts or substituents.

Matching supports up to 256 raw candidate-parent combinations per glycan. Localize floating parts and substituents with glyrepr::localize_floating_parts() first for larger domains.

Examples

library(glyparse)

count_motif("Gal(b1-3)Gal(b1-3)GalNAc(b1-", "Gal(b1-")
#> [1] 2
count_motif(
  "Man(b1-?)[Man(b1-?)]GalNAc(b1-4)GlcNAc(b1-",
  "Man(b1-?)[Man(b1-?)]GalNAc(b1-"
)
#> [1] 1
count_motif("Gal(b1-3)Gal(b1-", "Man(b1-")
#> [1] 0

# Vectorized usage with single motif
count_motif(c("Gal(b1-3)Gal(b1-3)GalNAc(b1-", "Gal(b1-3)GalNAc(b1-"), "Gal(b1-")
#> [1] 2 1

# Multiple motifs with count_motifs()
glycan1 <- parse_iupac_condensed("Gal(b1-3)Gal(b1-3)GalNAc(b1-")
glycan2 <- parse_iupac_condensed("Man(b1-?)[Man(b1-?)]GalNAc(b1-4)GlcNAc(b1-")
glycans <- c(glycan1, glycan2)

motifs <- c("Gal(b1-3)GalNAc(b1-", "Gal(b1-", "Man(b1-")
result <- count_motifs(glycans, motifs)
print(result)
#>                                            [,1] [,2] [,3]
#> Gal(b1-3)Gal(b1-3)GalNAc(b1-                  1    2    0
#> Man(b1-?)[Man(b1-?)]GalNAc(b1-4)GlcNAc(b1-    0    0    2

# Monosaccharide type matching examples
# Concrete glycan vs generic motif: compatible residues match
count_motif("Man(?1-", "Hex(?1-") # Returns 1
#> [1] 1

# Generic glycan vs concrete motif: doesn't match
count_motif("Hex(?1-", "Man(?1-") # Returns 0
#> Warning: Matching generic `glycans` against concrete `motifs` always returns no matches
#> in strict mode.
#>  Convert motifs with `glyrepr::convert_to_generic()`, or use `mode =
#>   "lenient"` when generic identities should match their concrete counterparts.
#> [1] 0