Building Vietnamese Herbal Database Towards Big Data Science in Nature-Based Medicine
Abstract
Vietnam carries a highly diverse data of traditional medicine, in which various combinations of herbs were widely used as a remedy for many types of diseases. Poor hand-writing records and current text-based databases, however, perplex the conventionalizing and evaluating process of the canonical therapeutic effects. In efforts to reorganize this valuable information, we provide VietHerb Ontology (VHO) for herbs documented in Vietnamese traditional medicines. The ontology was constructed with temerity to provoke data communication with available ontologies for plants, metabolites, diseases, and geography in order to convey a composite description of each individual species. VHO consists of 2881 species, 10887 metabolites, 458 geographical locations, and 8046 Oriental therapeutic effects. The number of binary relationships of species-metabolite, species therapeutic effect, species-morphology, and species-distribution are 17602, 2718, 11943, and 16089 respectively. The ontology primarily serves as open sources facilitating users in studies on structure-based drug design and simulation and develops knowledge-based prediction models for deep-learning in future. Our newly built database will be used to explore active ingredients in the effective Vietnamese herbal medicine formulations for individual diseases and to understand therapeutic effects under scientific viewpoint.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 04, 2018
- Accession Number
- AD1046151
Entities
People
- Ly T. Le
Organizations
- International University