ArticleScientific reports2017
Quantitative bioassay to identify antimicrobial drugs through drug interaction fingerprint analysis.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Guided screen for synergistic three-drug combinations.PloS one · 2020Article
- Design of high-order antibiotic combinations against M. tuberculosis by ranking and exclusion.Scientific reports · 2019Article
- Modeling the impact of drug interactions on therapeutic selectivity.Nature communications · 2018Article
- Diagonal Method to Measure Synergy Among Any Number of Drugs.Journal of visualized experiments : JoVE · 2018Article
- Future Information Technology Tools for Fighting Substandard and Falsified Medicines in Low- and Middle-Income Countries.Frontiers in pharmacology · 2018Review
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Authors and funding
2 authors.
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Abstract
Drug interaction analysis, which reports the extent to which the presence of one drug affects the efficacy of another, is a powerful tool to select potent combinatorial therapies and predict connectivity between cellular components. Combinatorial effects of drug pairs often vary even for drugs with similar mechanism of actions. Therefore, drug interaction fingerprinting may be harnessed to differentiate drug identities. We developed a method to analyze drug interactions for the application of identifying active pharmaceutical ingredients, an essential step to assess drug quality. We developed a novel approach towards the identification of active pharmaceutical ingredients by comparing drug interaction fingerprint similarity metrics such as correlation and Euclidean distance. To expedite this method, we used bioluminescent E. coli in a simplified checkerboard assay to generate unique drug interaction fingerprints of antimicrobial drugs. Of 30 antibiotics studied, 29 could be identified based on their drug interaction fingerprints. We present drug interaction fingerprint analysis as a cheap, sensitive and quantitative method towards substandard and counterfeit drug detection.
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