Spoerri called this phenomenon the Authority Effect: here, we seek to determine whether the Effect also applies in the context of similarity-based virtual screening systems, since this would provide a firm basis for the use of fusion methods.
To address this, we have examined the application of sequence similarity networks for visualizing functional trends across protein superfamilies from the context of sequence similarity.
Averianov, Archibald, and Martin instead placed UA 8699 in the context of faunal similarity and exchange between the late Cretaceous faunas of Europe and Africa, noting the presence of similar animals, such as snakes (Medtsoia) and sauropods (Lirainosaurus and Repetosaurus), in the Cretaceous faunas of Madagascar and the Spanish locality Laño.
We also provide analogues of these results in the context of joint similarity of commuting tuples of positive linear maps on the algebra of bounded linear operators on a separable Hilbert space.
When applied in the context of shape similarity searching, these filters can significantly improve throughput performance by avoiding expensive superposition optimization computation of conformer pairs that cannot possibly meet a pre-defined shape similarity search threshold.
The central claim of distinctiveness theory is that memory is enhanced when differences among individual items are processed in the context of the similarity among those items (referred to as distinctive processing).
While in theory it would be interesting to consider differences in stereochemistry in the context of structural similarity, the presence of erroneous stereoisomers due to unspecified stereocentres meant that normalisation was required.
The network can then be interactively explored to see how these different features coalesce into trends (or don't) when viewed in the context of sequence similarity.
First, they provide a fast and easy to compute framework for observing relationships among very large sets of evolutionarily related proteins; more importantly, when visualized they also allow the perception of trends in orthogonal information viz., function-related information mapped onto the context of sequence similarity.
This method was first used in the context of functional similarity by Chabalier et al. (2007).
In the context of sequence similarity searches, the log-odds scores derived from the target dataset are known to be optimal for signal recovery [ 24].
