BIOINTMED: integrated biomedical knowledge base with ontologies and clinical trials

Area of Science:

• Biomedical Informatics
• Data Science
• Bioinformatics

Background:

• Biomedical data is complex and heterogeneous, requiring integration for effective analysis.
• A large, reliable quantity of data is crucial for domain understanding and exploration.

Purpose of the Study:

• To integrate biomedical data from various heterogeneous sources into a uniform format.
• To create an accessible biomedical knowledge base for researchers like biologists, pharmacists, and data scientists.
• To explore interactions among integrated biomedical entities.

Main Methods:

• Data integration from diverse sources (dictionaries, corpus).
• Amalgamation into a uniform format for the BIOINTMED knowledge base.
• Statistical analysis of consolidated biomedical entities.

Main Results:

• The BIOINTMED knowledge base contains unique entities: 11,299 drugs, 12,981 diseases, 4,428 targets, 61,491 genes, 48,663 pathways, and 13,146 adverse events.
• Exploration of interactions among integrated entity pairs.
• Comprehensive statistical analysis of the consolidated data.

Conclusions:

• The integrated BIOINTMED knowledge base provides a uniform and accessible resource for biomedical data.
• Facilitates the study of complex relationships within biomedical data.
• Supports advancements in biological, pharmaceutical, and data science research.