These pairs of nodes have a contradiction in their causal relationships, meaning they have more
than one of INCREASES
, DECREASES
, or CAUSES NO CHANGE
.
This may be due to different experimental conditions, so these statements need to be carefully
considered in analyses.
Source | Relations | Target | |
---|---|---|---|
p(HGNC:CHRM1) | causesNoChange, increases | bp(GO:"ERK1 and ERK2 cascade") |
A increases B
and
B
increases A
.
A decreases B
and
B
decreases A
.
While neither chaotic nor dampened pairs are biologically invalid, they require additional context to understand their regulation.
Type | Node A | Node B | |
---|---|---|---|
Dampened | a(CHEBI:"amyloid-beta") | p(HGNC:CHRM1) | |
Dampened | a(CHEBI:"amyloid-beta") | complex(p(FPLX:"G_protein"), p(HGNC:CHRM1)) |
Analysis of triple stability comes from a deep graph theoretic background. It identifies triangles within the graph that have logically inconsistent relations.
A positiveCorrelation B
, B negativeCorrelation C
, but
C positiveCorrelation A
.
A negativeCorrelation B
, B negativeCorrelation C
, and
C negativeCorrelation A
.
A increases B
, A decreases C
, and C positiveCorrelation
A
.
A increases B
, A increases C
, and C negativeCorrelation
A
.
A decreases B
, A decreases C
, and C negativeCorrelation
A
.
Type | Node A | Node B | Node C | |
---|---|---|---|---|
Jens | a(CHEBI:"amyloid-beta") | a(MESH:"1-(1'-(2-methylbenzyl)-1,4'-bipiperidin-4-yl)-1H-benzo(d)imidazol-2-(3H)-one") | p(HGNC:CHRM1) |
Pathologies are more dogmatically the result of molecular and physical processes, and do not necessarily make sense as the subject of causal statements.
BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.
If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.