Sentence examples for dissimilar compounds from inspiring English sources

Compounds that are similar are close to one another while dissimilar compounds are placed far apart.

Then, on Fig. 4d, a structure similarity towards IDAAPM compounds is exemplified to identify the most similar or dissimilar compounds using for example Tanimoto similarity coefficient (Fig. 4d).

When P1 was used, the TIF similarity ranged from 0.2 to 1.0, while both P2 and P3 had the most dissimilar compounds with TIF similarities of 0.4 or greater.

This value was considered a suitable threshold for the exclusion radius as defined by the value that encapsulates a large proportion of the similarity of the active data points, whilst also not requiring such dissimilar compounds as to select strange or undesirable chemistry.

We also observed that some structurally dissimilar compounds share similar transcriptomic profiles.

They include structurally similar compounds with dissimilar transcriptomic profiles or structurally dissimilar compounds with similar transcriptomic profiles.

In other words, it is easy to predict that dissimilar compound pairs are unlikely to be converted to each other by single enzymatic reactions.

Another explanation about the high AUC scores of BASELINE is that negative examples (all possible compound pairs except for reactant pairs in the gold standard data) include many structurally dissimilar compound pairs.

Each of these data sets comprises 30 dissimilar active compounds together with 15,000 inactive compounds, which are similar to the actives with respect to several simple descriptors like volume, solubility, or mass.

These interfacial fractures are often either between layers of dissimilar intermetallic compounds (IMCs), or between the solder and IMC layer.

Each of these data sets include both 30 maximally dissimilar active compounds and a background set of 15,000 decoys similar to the actives in regards to low-dimension properties like solubility, volume, and surface area.