When you think of a good weather forecast, you might picture a landscape without a cloud in the sky, but for a bright therapeutic forecast a CLOUD might be exactly what we need. Adding to the search for novel therapies, the Centre of Excellence for Medical Multimedia (CeMM) in Colorado Springs, US, has created a database of FDA-approved drug compounds that can be used to easily compare combinations of drugs: the CeMM Library of Unique Drugs – CLOUD for short. “At first, we just bought commercially available collections, and used a bioinformatics approach to identify the best of several competing products. But at that stage, we realized that all commercially available drug collections – even when combined – lacked approved compounds for a significant number of target classes,” says Stefan Kubicek, Head of the Proteomics and Metabolomics Facility at CeMM. “We decided to make our own reductionist collection that optimally represents all approved drugs regarding their molecular targets and chemical structures.” The result is a highly condensed library of 308 compounds, which includes features that have been neglected in other libraries, such as the active metabolite of drugs administered as prodrugs.
Why the reductionist approach? “The collection of only 308 compounds is small enough for systematically testing all pairwise combinations,” Kubicek explains. “Carrying out systematic combinatorial screens on the scale of, for example, all compounds in the NIH Chemical Genomics Center collection, would easily overwhelm even the largest industrial screening infrastructures.” The downscaling of the task allowed CLOUD to be created in just a few simple steps:
- Extract unique active pharmaceutical ingredients from the Drugs@FDA database.
- Remove large macromolecules, molecules that don’t operate via protein-ligand interactions, molecules that aren’t used to treat diseases, and molecules that are only found in tropical regions.
- Annotate the remaining drugs with their molecular targets, and group them by target class and chemical structure similarity.
- Combine the list with the 34 drugs that have unknown targets alongside their 35 active forms of prodrugs.
References
- MP Licciardello et al., “A combinatorial screen of the CLOUD uncovers a synergy targeting the androgen receptor”, Nat Chem Biol, [Epub ahead of print] (2017). PMID: 28530711.