ArticleMolecular systems biology2015
Systematic discovery of drug interaction mechanisms.
Article in Molecular systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
55 citing papers in PubMed, 94 citations in OpenAlex.
- Suppression of bacterial cell death underlies the antagonistic interaction between ciprofloxacin and tetracycline.Molecular systems biology · 2026Article
- Rethinking network analysis in ethnopharmacology: a multi-omics and AI roadmap to overcome conceptual and methodological biases.Frontiers in pharmacology · 2026Article
- Impeding pathways of intrinsic resistance in Escherichia coli confers antibiotic sensitization and resistance proofing.PLoS biology · 2025Article
- Mutations in the riboflavin biosynthesis pathway confer resistance to furazolidone and abolish the synergistic interaction between furazolidone and vancomycin inMicrobial genomics · 2025Article
- Bactericidal versus bacteriostatic antibacterials: clinical significance, differences and synergistic potential in clinical practice.The Journal of antimicrobial chemotherapy · 2025Review
- Critical role of growth medium for detecting drug interactions in Gram-negative bacteria that modelmBio · 2024Article
- The Vibrio cholerae CBASS phage defence system modulates resistance and killing by antifolate antibiotics.Nature microbiology · 2024Article
- Review of Predicting Synergistic Drug Combinations.Life (Basel, Switzerland) · 2023Review
- High-Resolution Bacterial Cytological Profiling Reveals Intrapopulation Morphological Variations upon Antibiotic Exposure.Antimicrobial agents and chemotherapy · 2023Article
- Growth-mediated negative feedback shapes quantitative antibiotic response.Molecular systems biology · 2022Article
- The physiology and genetics of bacterial responses to antibiotic combinations.Nature reviews. Microbiology · 2022Review
- Interactions between Medical Plant-Derived Bioactive Compounds: Focus on Antimicrobial Combination Effects.Antibiotics (Basel, Switzerland) · 2022Review
- Machine learning methods, databases and tools for drug combination prediction.Briefings in bioinformatics · 2022Article
- Analysing the fitness cost of antibiotic resistance to identify targets for combination antimicrobials.Nature microbiology · 2021Article
- Compatibility of Evolutionary Responses to Constituent Antibiotics Drive Resistance Evolution to Drug Pairs.Molecular biology and evolution · 2021Article
- Article
- Pulling the Brakes on Fast and Furious Multiple Drug-Resistant (MDR) Bacteria.International journal of molecular sciences · 2021Review
- Uncovering Key Metabolic Determinants of the Drug Interactions Between Trimethoprim and Erythromycin inFrontiers in microbiology · 2021Article
- Minimal biophysical model of combined antibiotic action.PLoS computational biology · 2021Article
- Co-delivery of 5-fluorodeoxyuridine and doxorubicin via gold nanoparticle equipped with affibody-DNA hybrid strands for targeted synergistic chemotherapy of HER2 overexpressing breast cancer.Scientific reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drug combinations are increasingly important in disease treatments, for combating drug resistance, and for elucidating fundamental relationships in cell physiology. When drugs are combined, their individual effects on cells may be amplified or weakened. Such drug interactions are crucial for treatment efficacy, but their underlying mechanisms remain largely unknown. To uncover the causes of drug interactions, we developed a systematic approach based on precise quantification of the individual and joint effects of antibiotics on growth of genome-wide Escherichia coli gene deletion strains. We found that drug interactions between antibiotics representing the main modes of action are highly robust to genetic perturbation. This robustness is encapsulated in a general principle of bacterial growth, which enables the quantitative prediction of mutant growth rates under drug combinations. Rare violations of this principle exposed recurring cellular functions controlling drug interactions. In particular, we found that polysaccharide and ATP synthesis control multiple drug interactions with previously unexplained mechanisms, and small molecule adjuvants targeting these functions synthetically reshape drug interactions in predictable ways. These results provide a new conceptual framework for the design of multidrug combinations and suggest that there are universal mechanisms at the heart of most drug interactions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.