Polypharmacological Profile for Phenothiazines


Application Note

Identifying a Polypharmacological Profile for Phenothiazines


Identifying a Polypharmacological Profile for Phenothiazines | WhitePaper

Selectivity is a traditional criterion in choosing lead compounds as it helps to avoid potential side effects. However, most traditional drugs act on more than one target, exhibiting a complex, multifaceted pharmacological profile. Their therapeutic action in several cases is probably explained by this polypharmacological behavior.

To facilitate comparisons of bioactivity data from different publications and assay types, all the data points in Reaxys Medicinal Chemistry have pX values. These are normalized values assigned to the data to enable straightforward quantification of compound–target affinity, regardless of the origin of the data.

Taking advantage of the vast amount of experimental data already extracted, structured and available in the Reaxys Medicinal Chemistry database, in silico profiling of a classical medicinal chemistry scaffold was performed to assess the polypharmacology of phenothiazine.

Phenothiazines are very simple substructures. They were among the first dopamine D2 antagonist structures to be discovered. Historically, this scaffold has been used for various therapeutic applications, in particular as an antischizophrenic.

Search Results

A substructure search for phenothiazine (Figure 1) in Reaxys Medicinal Chemistry retrieved 22,266 compounds with the phenothiazine ring scaffold. These 22,266 compounds are involved in 33,152 reactions, have 32,614 bioactivities associated with them, show activity against 942 targets and were extracted from 7,914 citations.

Understanding The Structure–target Interactions of Phenothiazines

Phenothiazine figure
Figure 1. Phenothiazine

To facilitate comparisons of bioactivity data from different publications and assay types, all the data points in Reaxys Medicinal Chemistry have pX values. They are calculated by transforming EC50, IC50, Ki, etc. into pEC50 = -LogEC50, pIC50= -LogIC50, pKi = -LogKi, etc. These are normalized values assigned to the data to enable straightforward quantification of compound–target affinity regardless of the origin of the data.

The activity profile for all phenothiazines found in Reaxys Medicinal Chemistry can be viewed in the Heatmap (Figure 2). This visualizes the relationships between compounds and their targets in terms of key parameters, allowing rapid identification of relevant compound– target interactions.

Heatmap for Reaxys Medicinal Chemistry database

In the Heatmap, biological affinities or activities are quantified with the aforementioned pX values which range from 1, indicating low activity and displayed in blue, to 15, indicating high available; white cells indicate a lack of data.

The Heatmap displays all the phenothiazines for which in vitro biological data has been mined from the literature and the target proteins associated with them. In this case, there are 2,074 phenothiazine substances active against 474 targets.

The thumbnail provides an overview of the entire Heatmap with a panel highlighting the section of the map currently displayed on your screen and the data density display showing the number of molecules retrieved per target.

A similar Heatmap could be produced for the most potent substances having a pX value of 5.0 (10 mM) in light green to 15.0 (1 fM, most active) in red (Figure 3). There were 1,174 substances with a pX above 5.0 and they were were active against 250 targets.

Heatmap was sorted by activity against 5-HT2a

A multitude of key parameters can be explored to aid understanding of the compound–target interactions, such as the bioassay types, species, therapeutic effects, biological parameters measured and cell lines. For example, using the side filters, a detailed study can be done using the Heatmap to distinguish binding profiles for human (Figure 4) and rat (Figure 5).

Profiles were restricted to human binding profile data.


Profiles were restricted to rat binding profile data.