bioRxivPharmacology & Toxicology
Quantifying synergy in the bioassay-guided fractionation of natural product extracts
Abstract
Mixtures of drugs often have greater therapeutic value than any of their constituent drugs alone, and such combination therapies are widely used to treat diseases such as cancer, malaria, and viral infections. However, developing useful drug mixtures is challenging due to complex interactions between drugs. Natural substances can be fruitful sources of useful drug mixtures because secondary metabolites produced by living organisms do not often act in isolation in vivo. In order to facilitate the study of interactions within natural substances, a new analytical method to quantify interactions using data generated in the process of bioassay-guided fractionation is presented here: the extract fractional inhibitory concentration index (EFICI). The EFICI method uses the framework of Loewe additivity to calculate fractional inhibitory concentration values by which interactions can be determined for any combination of fractions that make up a parent extract. The EFICI method was applied to data on the bioassay-guided fractionation of Lechea mucronata and Schinus terebinthifolia for growth inhibition of the pathogenic bacterium Acinetobacter baumannii. The L. mucronata extract contained synergistic interactions (EFICI = 0.4181) and the S. terebinthifolia extract was non-interactive overall (EFICI = 0.9129). Quantifying interactions in the bioassay-guided fractionation of natural substances does not require additional experiments and can be useful to guide the experimental process and to support the development of standardized extracts as botanical drugs.View Full Text
- organism: plant (other)
- research focus: drug response / drug discovery
- research focus: benchmarking
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Antimicrobial Combination Effects at Sub-inhibitory Doses do not Reliably Predict Effects at Inhibitory Concentrations
Malte Muetter, Daniel C. Angst, … Sebastian Bonhoeffer·bioRxiv·Sep 1, 2026
- Additive Dose Response Models: Defining Synergy
S. Lederer, T. Dijkstra, T. Heskes·bioRxiv·Jul 31, 2019
- Sublethal Interaction Factor (SIF), a growth-based method to analyse antibiotic combinations at sub-inhibitory concentrations.
Dione L. Sánchez‐Hevia, Nikos Fatsis-Kavalopoulos, Dan I. Andersson·bioRxiv·Mar 4, 2025
- The null additivity of multi-drug combinations
Dor Russ, Roy Kishony·Nature MicrobiologyPeer-reviewed·Oct 3, 2018
- Additive Dose Response Models: Explicit Formulations and the Loewe Additivity Consistency Condition
S. Lederer, T. M. H. Dijkstra, T. Heskes·bioRxiv·Jul 9, 2017
- Prevalence and patterns of higher-order interactions
Elif Tekin, Cynthia White, … Pamela J. Yeh·npj Systems Biology and ApplicationsPeer-reviewed·Jul 31, 2018