Overview | Human Brain Pharmacome

The landing page for the project

This page outlines the resources generated for the Human Brain Pharmacome project lead by Charles Tapley Hoyt in 2018 and 2019. Knowledge Storage, Manipulation, and Exploration One of the first goals of the Human Brain Pharmacome Project is to bring order to the unstructured knowledge locked in the biomedical literature, patents, and electronic health records. Storing Knowledge: Biological Expression Language We heavily rely on Biological Expression Language (BEL) as a format for storing qualitative causal and correlative relations between biological entities across multiple modes and scales,

related reading

• GitHub - pharmacome/conib: Curation of Neurodegeneration in Biological Expression Language (CONIB) · GitHubgithub.com
• Gap Mapgap-map.org
• Systematic integration of biomedical knowledge prioritizes drugs for repurposinggit.dhimmel.com
• the drug landscapegenome-browser-eight.vercel.app
• GitHub - leonweber/pedl: Search the biomedical literature for protein interactions and protein associations · GitHubgithub.com
• Elicit: AI for scientific researchelicit.com
• An experimentally validated approach to automated biological evidence generation in drug discovery using knowledge graphs | Nature Communicationsnature.com
• biochem4j: Integrated and extensible biochemical knowledge through graph databases | PLOS Onejournals.plos.org
• Elicit: AI for scientific researchelicit.org
• Building a PubMed knowledge graph | Scientific Datanature.com
• Practical Cheminformatics Index - Practical Cheminformaticspatwalters.github.io
• Predicting instances of pathway ontology classes for pathway integration | Journal of Biomedical Semantics | Springer Nature Linkjbiomedsem.biomedcentral.com