Analyzing user-generated online content for drug discovery: development and use of MedCrawler | Zendy

Andreas Helfenstein | Zendy; Päivi Tammela | Zendy

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Analyzing user-generated online content for drug discovery: development and use of MedCrawler

Author(s) -

Andreas Helfenstein,

Päivi Tammela

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw782

Subject(s) - computer science , content (measure theory) , drug discovery , drug , drug development , world wide web , information retrieval , data science , pharmacology , bioinformatics , medicine , mathematics , mathematical analysis , biology

Ethnopharmacology, or the scientific validation of traditional medicine, is a respected starting point in drug discovery. Home remedies and traditional use of plants are still widespread, also in Western societies. Instead of perusing ancient pharmacopeias, we developed MedCrawler, which we used to analyze blog posts for mentions of home remedies and their applications. This method is free and accessible from the office computer.

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