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In this dataset, the category annotation maps are not provided, thus we annotate the categories manually, including ground, person, building, and car.
Particularly, we use the data set in which each given protein is assigned to one of the functional categories (with proteins in multiple categories manually assigned by Bu et al. [18] to only one).
The identified protein families were grouped into functional categories manually based on the available annotation information for the genes in each protein family.
In DrugBank, drug categories correspond to therapeutic or general categories manually collected from PubMed (http://www.ncbi.nlm.nih.gov/pubmed/), STAT Ref (AHFS) (http://online.statref.com/UserLogin.aspx Path=/Default. aspx&Product=StatRef) and e-Therapeutics (http://www.e-therapeutics.ca/).ca/
DAVID analysis (Database for Annotation, Visualization, and Integrated Discovery) could not identify significant enrichment of GO terms or functional categories for the remaining 34 proteins, and therefore hits were assigned categories manually based on information in UniProtKB, the National Center for Biotechnology Information (NCBI) and GeneCards.
Since TIGR and COG classify proteins into 15 and 18 categories respectfully, these categories were manually aligned to roughly correspond to the four KEGG categories for comparison (see Figure 2).
We experimented with different number of subjects in each category (we manually and carefully kept the balance between the numbers).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com