Metadata-Version: 2.1
Name: druglinker
Version: 0.1.1
Summary: Simple drug linking
Home-page: https://github.com/fgh95/DrugLinker
Author: Ferran Gonzalez Hernandez
Author-email: ucbpfgo@ucl.ac.uk
License: MIT
Description: # DrugLinker
        
        This package is a simple python module to obtain all unique drug identifiers that match a given input string.
        It does it by matching the input term with DrugBank open-data vocabulary : https://www.drugbank.ca/releases/latest#open-data. 
        It is useful to process candidate drug tokens after drug named-entity recognition (NER) or to directly match sentences after tokenization.
        
        To install the package simply run the following in a bash shell:
        
        ```
        pip install druglinker==0.1.1
        ```
        
        Example of use in a python environment: 
        
        ```
        from druglinker import dbsearch
        dbsearch.get_ids("amox")
        # output: ["DB01060"]
        dbsearch.get_ids("amoxicillin")
        # output: ["DB01060"]
        dbsearch.get_ids("vancomycin")
        # output: ["DB00512"]
        
        # Simple sentence tagging:
        
        text = "20mg of midazolam were administered intravenously"
        for term in text.split():
            ids = dbsearch.get_ids(term)
            if ids:
                print(term)
                print(ids)
        
        # output:
        # midazolam
        # ['DB00683']
        ```
        
        For instance you can now easily find further information about the drug identifier detected (e.g. DB00683) at 
        https://www.drugbank.ca/drugs/DB00683
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
