Related Experiment Video
Updated: Jun 4, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
Published on: October 13, 2023
Extraction of Conditional Probabilities of the Relationships Between Drugs, Diseases, and Genes from PubMed Guided by
Martin Theobald1, Nigam Shah, Jeff Shrager
1Departments of Computer Science.
Abstract:
Guided by curated associations between genes, treatments (i.e., drugs), and diseases in pharmGKB, we constructed n-way Bayesian networks based on conditional probability tables (cpt's) extracted from co-occurrence statistics over the entire Pubmed corpus, producing a broad-coverage analysis of the relationships between these biological entities. The networks suggest hypotheses regarding drug mechanisms, treatment biomarkers, and/or potential markers of genetic disease. The cpt's enable Trio, an inferential database, to query indirect (inferred) relationships via an SQL-like query language.
Related Concept Videos
Pharmacogenomics: Identification of New Drug Targets
Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu
Pharmacogenetics and Pharmacogenomics: Overview
Pharmacogenetics of Drug Metabolism: Overview
Pharmacokinetic–Pharmacodynamic Relationship: Problems
Principles of Pharmacogenetics: Types of Genetic Variants
