Ma et al. [ 10] developed a tool for modeling and visualizing the relationship between different groups of compounds that share similar differential gene expression signatures, termed "Mode of Actions," regarding their therapeutic effect.
The resemblance between the two groups of compounds means that inhibitors of protein kinases also inhibit bacterial resistance enzymes.
Due to entrapment of chlorophenols in biosurfactant micelles as well as hydrophobic interactions between these two groups of compounds, the toxicity of phenol-based molecules could be substantially reduced.
Although these compounds share similar MS molecular fingerprints, this work highlights the mass spectrometric fragmentation differences between the two related groups of compounds.
Molecular modelling studies point out significant differences between orientations of these two groups of compounds in the active site of AChE, which can be an explanation of their different biological activity.
Three groups of compounds exist as defined by the ratio of within-cluster to between-cluster distances: one containing compounds N, O, and P; one containing compounds H, K, and Q; and one containing compound F along with lovastatin and taxol; compound L is an outlier.
They patent broad groups of compounds, and then research further to determine which are useful.
Two groups of compounds could be distinguished.
The VS setup consisted of four groups of compounds: active, inactive, DUD (Directory of Useful Decoys) decoys, and random ZINC subsets; three sets of experiments were prepared to discriminate between active and inactive compounds from each of the decoy collections.
Hence, nodes in the trees (or graphs) correspond to compounds and/or groups of compounds.
