Analyse protein interaction network for significant hits — analyse_functional

The STRING database provides a resource for known and predicted protein-protein interactions. The type of interactions include direct (physical) and indirect (functional) interactions. Through the R package STRINGdb this resource if provided to R users. This function provides a convenient wrapper for STRINGdb functions that allow an easy use within the protti pipeline.

analyse_functional_network(
  data,
  protein_id,
  string_id,
  organism_id,
  version = "11.5",
  score_threshold = 900,
  binds_treatment = NULL,
  halo_color = NULL,
  plot = TRUE
)

Arguments

data: a data frame that contains significantly changing proteins (STRINGdb is only able to plot 400 proteins at a time so do not provide more for network plots). Information about treatment binding can be provided and will be displayed as colorful halos around the proteins in the network.
protein_id: a character column in the data data frame that contains the protein accession numbers.
string_id: a character column in the data data frame that contains STRING database identifiers. These can be obtained from UniProt.
organism_id: a numeric value specifying an organism ID (NCBI taxon-ID). This can be obtained from here. H. sapiens: 9606, S. cerevisiae: 4932, E. coli: 511145.
version: a character value that specifies the version of STRINGdb to be used. Default is 11.5.
score_threshold: a numeric value specifying the interaction score that based on STRING has to be between 0 and 1000. A score closer to 1000 is related to a higher confidence for the interaction. The default value is 900.
binds_treatment: a logical column in the data data frame that indicates if the corresponding protein binds to the treatment. This information can be obtained from different databases, e.g UniProt.
halo_color: optional, character value with a color hex-code. This is the color of the halo of proteins that bind the treatment.
plot: a logical that indicates whether the result should be plotted or returned as a table.

Value

A network plot displaying interactions of the provided proteins. If binds_treatment was provided halos around the proteins show which proteins interact with the treatment. If plot = FALSE a data frame with interaction information is returned.

Examples

# \donttest{
# Create example data
data <- data.frame(
  uniprot_id = c(
    "P0A7R1",
    "P02359",
    "P60624",
    "P0A7M2",
    "P0A7X3",
    "P0AGD3"
  ),
  xref_string = c(
    "511145.b4203;",
    "511145.b3341;",
    "511145.b3309;",
    "511145.b3637;",
    "511145.b3230;",
    "511145.b1656;"
  ),
  is_known = c(
    TRUE,
    TRUE,
    TRUE,
    TRUE,
    TRUE,
    FALSE
  )
)

# Perform network analysis
network <- analyse_functional_network(
  data,
  protein_id = uniprot_id,
  string_id = xref_string,
  organism_id = 511145,
  binds_treatment = is_known,
  plot = TRUE
)


network
#> NULL
# }