Answers.Body: <p>I don't know if it's too late, but I met same question and got an answer.
  You can use <code>add_proteins_description()</code>. It works in same way with <code>map()</code>. If you put a data frame having <code>STRING_id</code> column, it adds <code>preferred_name</code>, <code>protein_size</code> and <code>annotation</code>. You may find your answer on <code>preferred_name</code> column.</p>
  <pre><code>require(STRINGdb)
  string_db &lt;- STRINGdb<span class="math-container">$new()
  string_db$</span>add_proteins_description(data.frame(STRING_id = [vector containing string ids]))
  </code></pre>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2021-11-18T08:38:59.527Z
Answers.LastActivityDate: 2021-11-20T06:31:38.230Z
Answers.LastEditDate: 2021-11-20T06:31:38.230Z
Answers.UserDisplayName: Hyun-Yi Kim
Answers.Body: <p>This answer does not rely on STRINGdb package.</p>
  <p>STRING provides supplementary identifier mapping files here: <a href="https://string-db.org/mapping_files/" rel="nofollow noreferrer">https://string-db.org/mapping_files/</a>.</p>
  <p>It looks like you are interested in human STRING name one - <a href="https://string-db.org/mapping_files/STRING_display_names/human.name_2_string.tsv.gz" rel="nofollow noreferrer">https://string-db.org/mapping_files/STRING_display_names/human.name_2_string.tsv.gz</a>. You could read it as a separate lookup.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2021-02-21T17:10:16.560Z
Answers.LastActivityDate: 2021-02-21T17:10:16.560Z
Answers.UserDisplayName: ellimilial
Body: <p>Is there a functionality within STRINGdb package or in another environment to reverse map the STRING identifiers to Gene names?</p>
  <p>For example, the entire STRING network can be downloaded using the commands:</p>
  <pre><code>library(STRINGdb)
  string_db &lt;- STRINGdb<span class="math-container">$new(version="11", species=9606,
                            score_threshold=0, input_directory="" )
  full.graph &lt;- string_db$</span>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
  </code></pre>
  <p><code>V(netFull)$name</code> will provide all the STRING identifiers within this network <code>netFull</code>. How to get the corresponding gene names?</p>
  <p>For example, <code>string_db$map()</code> 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.</p>
  
Tags: <r><bioconductor><networks><stringdb>
Title: STRINGdb: reverse map STRING identifiers to gene names?
ThreadText: # STRINGdb: reverse map STRING identifiers to gene names?
  
  (Asked by: username_0 on 2021-02-19)
  
  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 <- STRINGdb$new(version="11", species=9606,
                            score_threshold=0, input_directory="" )
  full.graph <- string_db$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 "STRING\_id" as an additional column. Now, I would like to explore in the reverse direction going from STRING identifiers to gene names.
  
  **Tags:** r, bioconductor, networks, stringdb
  
  
  ---
  
  ## 2 answers
  
  ### Answer by username_1 on 2021-11-18. Score: 2 | Accepted answer
  
  I don't know if it's too late, but I met same question and got an answer.
  You can use `add_proteins_description()`. It works in same way with `map()`. If you put a data frame having `STRING_id` column, it adds `preferred_name`, `protein_size` and `annotation`. You may find your answer on `preferred_name` column.
  
  ```
  require(STRINGdb)
  string_db <- STRINGdb$new()
  string_db$add_proteins_description(data.frame(STRING_id = [vector containing string ids]))
  
  ```
  
  
  ---
  
  ### Answer by username_2 on 2021-02-21. Score: 2
  
  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.
  
  
  ---
  
  