AI Article Synopsis
- Interest in Solute Carrier Transporters (SLC) has surged due to their potential as drug targets, while macrocycles are emerging as effective therapeutic agents.
- This study conducts a statistical analysis of macrocycles that show activity against SLC transporters, utilizing data from a mining pipeline in KNIME that gathered 825 bioactivity data points.
- Researchers also developed an interactive KNIME workflow and a visualization tool using parametric t-SNE models to better understand and categorize SLC inhibitor profiles, which are all made freely available to the scientific community.
Article Abstract
In the past years the interest in Solute Carrier Transporters (SLC) has increased due to their potential as drug targets. At the same time, macrocycles demonstrated promising activities as therapeutic agents. However, the overall macrocycle/SLC-transporter interaction landscape has not been fully revealed yet. In this study, we present a statistical analysis of macrocycles with measured activity against SLC-transporter. Using a data mining pipeline based on KNIME retrieved in total 825 bioactivity data points of macrocycles interacting with SLC-transporter. For further analysis of the SLC inhibitor profiles we developed an interactive KNIME workflow as well as an interactive map of the chemical space coverage utilizing parametric t-SNE models. The parametric t-SNE models provide a good discrimination ability among several corresponding SLC subfamilies' targets. The KNIME workflow, the dataset, and the visualization tool are freely available to the community.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11475418 | PMC |
| http://dx.doi.org/10.1002/minf.202300287 | DOI Listing |
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