The term "compound relationship" is not a commonly used phrase in English, and it may be unclear what exactly it refers to. It is possible that it could be interpreted as a relationship between two or more compounds (such as chemical compounds), but without further context, it is difficult to provide a clear example. A more commonly used phrase in the context of relationships is "complicated relationship," which typically refers to a relationship that is difficult to understand or has many complex dynamics. For example: - "Their relationship was always a bit of a mystery to me. It seemed like they had a complicated relationship with a lot of ups and downs." - "I don't envy their situation. Having a complicated relationship with a coworker can make work a lot more difficult."
Comparison of the PubChem 3-D "Similar Conformers" neighboring relationship with the PubChem 2-D "Similar Compounds" neighboring relationship using three well-known bioactive molecules (aspirin, caffeine, and morphine) showed a considerable degree of uniqueness between the two neighboring relationships and providing a number of related structures with significant biological annotation.
In addition, it may enable new ways of knowledge discovery for example by extracting relationships between compound structure and its properties, traditionally known as structure-activity relationships (SAR) or structure property relationships (SPR).
Additional pairwise target comparison revealed compound relationships between miR-142-3p miR-142-3p miR-142-3p
The relevant Results section reads: "Additional pairwise target comparison revealed compound relationships between miR-142-3p miR-142-3p miR-142-3p
Among them, 1063 scaffolds (about 77%% of the whole scaffolds) show a one-scaffold-one-compound relationship again with benzene and pyridine as the most common ones.
Analogous to the precomputed "Similar Compounds" relationship for 2-D similarity, PubChem3D now provides a "Similar Conformers" neighboring relationship [8] using 3-D similarity.
As demonstrated in Figure 6 and 7, the 3-D "Similar Conformers" relationship can be useful to identify structurally similar molecules that may be completely missed when only the 2-D "Similar Compounds" relationship is exploited.
A pre-computed search per compound record gives immediate access to a set of 3-D similar compounds (called "Similar Conformers" [8]) in PubChem and their respective superpositions, augmenting the complementary "Similar Compounds" relationship, computed using the PubChem 2-D similarity method.
An all-against-all 3-D neighboring relationship (known as "Similar Conformers") [24] is pre-computed to help users to locate related data in the archive, augmenting the complementary "Similar Compounds" relationship, based on 2-D similarity of the PubChem subgraph binary fingerprint [26].
So could the "papers-per-compound" relationship be plotted to provide insight into this?
Moreover, in this version of IntPath we only take gene relationships into account; in a future version, IntPath will also consider other important relationships in the pathways--like protein-compound relationships, compound-compound relationships, and so on.
