STRINGdb: reverse map STRING identifiers to gene names? Is there a functionality within STRINGdb package or in another environment to reverse map the STRING identifiers to Gene names?
For example, the entire STRING network can be downloaded using the commands:
library(STRINGdb)
string_db &lt;- STRINGdb$new(version="11", species=9606,
                          score_threshold=0, input_directory="" )
full.graph &lt;- string_db$load_all()
netFull
# IGRAPH c07d6e9 UN-- 19354 11759454 -- 
# + attr: name (v/c), combined_score (e/n)
# + edges from c07d6e9 (vertex names):
#  [1] 9606.ENSP00000000233--9606.ENSP00000272298 9606.ENSP00000000233--9606.ENSP00000253401
#  [3] 9606.ENSP00000000233--9606.ENSP00000401445 9606.ENSP00000000233--9606.ENSP00000418915
#  [5] 9606.ENSP00000000233--9606.ENSP00000327801 9606.ENSP00000000233--9606.ENSP00000466298
#  [7] 9606.ENSP00000000233--9606.ENSP00000232564 9606.ENSP00000000233--9606.ENSP00000393379
#  [9] 9606.ENSP00000000233--9606.ENSP00000371253 9606.ENSP00000000233--9606.ENSP00000373713
# [11] 9606.ENSP00000000233--9606.ENSP00000248929 9606.ENSP00000000233--9606.ENSP00000356737
# [13] 9606.ENSP00000000233--9606.ENSP00000338766 9606.ENSP00000000233--9606.ENSP00000386135
# [15] 9606.ENSP00000000233--9606.ENSP00000319192 9606.ENSP00000000233--9606.ENSP00000432568
# + ... omitted several edges

V(netFull)$name will provide all the STRING identifiers within this network netFull. How to get the corresponding gene names?
For example, string_db$map() maps the gene identifiers of the input dataframe to STRING identifiers. It returns the input dataframe with the &quot;STRING_id&quot; as an additional column. Now, I would like to explore in the reverse direction going from STRING identifiers to gene names.
This answer does not rely on STRINGdb package.
STRING provides supplementary identifier mapping files here: https://string-db.org/mapping_files/.
It looks like you are interested in human STRING name one - https://string-db.org/mapping_files/STRING_display_names/human.name_2_string.tsv.gz. You could read it as a separate lookup.