Database Tutorial

  1. How to search in Drug Tree Database
    • Quick search entry on each page

      • In order to enable users to search our database easily and quickly, we have set up a search portal on each page of the database, which is located on the right side of the top navigation bar. The search box allows users to search for either the drug name or drug id. detailed drug ids can be viewed on the browse page or downloaded from the download page to view our drug information file.

    • Similarity search for drugs, cell lines, and cancer types on the Search page

      • We provide a convenient search portal for the results of similarity analysis on the search page. Simply select the type of similarity searched (drug, cancer cell line and cancer type) in the navigation bar to retrieve access to our different similarity analysis results.

    • Precise search on Browser page

      • On the browse page, users can directly select a drug of interest and click on the drug ID to search for information on the pharmacological classification tree of that drug.

  2. How to download data in Drug Tree Database
    • Download the primary data

      • The raw data we use are from major public databases and can be downloaded directly from our download page. It is also possible to download the latest version of the data from the source database, if available.

    • Download the processed data

      • The pre-processed data is simply processed, including unifying formats, converting lists to matrices, integrating public datasets, etc.

    • Download the analyzed data

      • The analyzed data include pharmacological classification trees with data related to genomic alterations (mutations, fusions) or gene expression. It is worth mentioning that each column is described in detail in the header of each file for easy understanding and reuse by the user.

  3. How to use the pharmacological classification tree
    • Identification of novel tumor subtypes

      • By searching for the drug, we can observe the pharmacological classification tree of the drug on the results page. Further, we can view the tumor types for each pharmacological subtype. As well as explore the tumor type distribution trends of pharmacological subtypes based on drug sensitivity and resistance trends.

    • Discovery of molecular mechanisms of pharmacological subtypes

      • On the right side of the result page we can very easily understand the molecular mechanism of the pharmacological classification tree of the drug, consisting of genomic alterations and gene expression. Orange color indicates positive, i.e. the proportion of alterations or expression tends to decrease with decreasing drug sensitivity. Blue indicates negative, i.e. the proportion of alterations or expression tends to increase as drug sensitivity decreases. Note that we removed the intermediate subtypes with mixed drug resistance and sensitivity. Click etc. to expand the genes not shown in full.

  4. How to contact us