Back to search

Article

Simulating serial-target antibacterial drug synergies using flux balance analysis

2015-11-06

Abstract excerpt

Flux balance analysis (FBA) is an increasingly useful approach for modeling the behavior of metabolic systems. However, standard FBA modeling of genetic knockouts can not predict drug combination synergies observed between serial metabolic targets, even though such synergies give rise to some of the most widely used antibiotic treatments. Here we extend FBA modeling to simulate responses to chemical inhibitors at...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
298550f4-f369-5671-9dd4-5a4c166bf3d0
DOI
10.1101/030791
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Simulating serial-target antibacterial drug synergies using flux balance analysisDOI 10.1101/030791
Understanding the host-microbe interactions using metabolic modelingSemantic proximity
Systematic discovery of drug interaction mechanisms.Semantic proximity
Why Standard LP-Based Flux Balance Analysis Cannot Detect Synergy for Essential Gene Pairs in ESKAPE Pathogens: A Systematic Evaluation and Proof-of-Concept Feature-Based ML AlternativeSemantic proximity
Interpreting Expression Data with Metabolic Flux Models: Predicting Mycobacterium tuberculosis Mycolic Acid ProductionSemantic proximity
Evolutionary plasticity and innovations in complex metabolic reaction networks.Semantic proximity
Simulating single-cell metabolism using a stochastic flux-balance analysis algorithmSemantic proximity
A genome-scale Escherichia coli kinetic metabolic model k-ecoli457 satisfying flux data for multiple mutant strains.Semantic proximity
Understanding flux switching in metabolic networks through an analysis of synthetic lethalsSemantic proximity
Flux-sum analysis: a metabolite-centric approach for understanding the metabolic network.Semantic proximity
A kinetic model of Escherichia coli core metabolism satisfying multiple sets of mutant flux data.Semantic proximity
Flux balance impact degree: a new definition of impact degree to properly treat reversible reactions in metabolic networks.Semantic proximity
Tripleknock: predicting lethal effect of three-gene knockout in bacteria by deep learningSemantic proximity
Select a neighboring publication to make it the new centre.