CTD Tetramers are computationally predicted information blocks, derived by integrating five direct evidence statements found in CTD (manually curated from the scientific literature):
- direct chemical-gene interaction (C-G)
- direct chemical-phenotype interaction (C-P)
- direct chemical-disease association (C-D)
- direct gene-disease association (G-D)
- imported gene-phenotype/GO annotation (G-P)
Note: a tetramer is generated only if all five dyad evidence statements currently exist in the database; CTD is updated monthly with new data, so results will change over time.
The computationally predicted tetramer includes an initiating chemical (C) that interacts with a gene product (G) to trigger a phenotype (P) that can be connected to a disease (D). Individual tetramers can be combined and linked to construct complex mechanisms-of-action, chemical-induced disease pathways, or adverse outcome pathways. Details about CTD Tetramers and a case study highlighting their utility is provided in Davis et al., 2020.
Enter any target chemical, gene product, and/or outcome term (phenotype and/or disease) to find all the CTD Tetramers that can be computationally predicted for that term. If multiple terns are simultaneously co-entered, a limited subset of CTD Tetramers will be returned. The data returned can be selected for the exact input query term only or also return data for descendants of that term. Output files will list the Chemical, Gene, Phenotype, and Disease that comprise the CTD Tetramers for the query.