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Updated: Feb 14, 2026

Ammonia Synthesis at Low Pressure
Published on: August 23, 2017
Permeability and ammonia selectivity in aquaporin TIP2;1: linking structure to function.
Viveca Lindahl1, Pontus Gourdon2,3, Magnus Andersson4
1Department of Physics and Swedish e-Science Research Center, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden. vivecal@kth.se.
A double mutation in aquaporin TIP2;1 protein channels significantly reduced ammonia permeability while maintaining water permeability. This study explains the structural basis for altered selectivity using molecular dynamics simulations.
Area of Science:
- Biophysics
- Structural Biology
- Computational Biology
Background:
- Aquaporin TIP2;1 facilitates water and ammonia transport.
- The structural basis for ammonia selectivity is not well understood.
- Previous experiments showed a double mutation impacts ammonia permeability.
Purpose of the Study:
- To computationally investigate the structural and functional effects of a double mutation in aquaporin TIP2;1.
- To explain the observed changes in water and ammonia permeability.
- To explore potential gating mechanisms in the aquaporin channel.
Main Methods:
- Microsecond molecular dynamics simulations were performed.
- Two force fields (CHARMM36 and Amber ff99SB-ILDN) were utilized.
- Permeability and free energy calculations for water and ammonia were conducted.
Main Results:
- One force field showed a 2.5-fold decrease in water permeability and a 4-fold decrease in ammonia permeability for the double mutant.
- Water selectivity increased by a factor of 1.6.
- Increased pore-water interactions and a narrower pore were observed, leading to decreased water entropy.
- Spontaneous pore opening and closing events suggested a gating mechanism.
Conclusions:
- The study successfully reproduced and explained the effects of the double mutation on aquaporin TIP2;1 function.
- Altered pore dimensions and water-protein interactions contribute to enhanced water selectivity.
- Molecular dynamics simulations are effective for studying subtle mutation effects and long-timescale events.
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