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Updated: Apr 15, 2026

Characterization of Membrane Transporters by Heterologous Expression in E. coli and Production of Membrane Vesicles
Published on: December 31, 2019
Binding proteins enhance specific uptake rate by increasing the substrate-transporter encounter rate
Evert Bosdriesz1, Stefanía Magnúsdóttir1, Frank J Bruggeman1
1Systems Bioinformatics, VU University, Amsterdam, The Netherlands.
Binding proteins enhance nutrient scavenging in microorganisms by increasing transporter efficiency. Higher binding protein concentrations optimize nutrient uptake, especially when nutrients are scarce.
Area of Science:
- Microbiology
- Biochemistry
- Systems Biology
Background:
- Microorganisms utilize binding-protein assisted active transport for nutrient acquisition.
- Existing research proposes advantages of binding proteins but lacks quantitative analysis.
- A systematic investigation into the precise function of binding proteins is needed.
Purpose of the Study:
- To quantitatively analyze the function of binding proteins in nutrient transport systems.
- To derive kinetic, thermodynamic, and stoichiometric properties of these systems.
- To test the hypothesis that maximal specific activity is the selection objective.
Main Methods:
- Combining knowledge of selection pressure and physicochemical constraints.
- Deriving theoretical properties of binding-protein dependent transport.
- Analyzing the impact of binding protein concentration on transport efficiency.
Main Results:
- Binding protein concentration should exceed both nutrient and transporter concentrations for maximal activity.
- Elevated binding protein levels increase the encounter rate between transporters and loaded binding proteins.
- This mechanism enhances affinity and specific uptake rates, particularly at low substrate concentrations.
Conclusions:
- Binding-protein dependent transport systems are optimized for maximal import activity per transporter.
- The concentration of binding proteins is a critical factor in efficient nutrient scavenging.
- Theoretical predictions align with experimental observations, validating the proposed model.
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