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Localized potential well vs binding site: Mapping solute dynamics in a membrane channel onto one-dimensional
Alexander M Berezhkovskii1, Sergey M Bezrukov2, Dmitrii E Makarov3
1Mathematical and Statistical Computing Laboratory, Office of Intramural Research, Center for Information Technology, National Institutes of Health, Bethesda, Maryland 20892, USA.
Analyzing solute molecule translocation through channels reveals distinct binding models. While both predict similar equilibrium distributions, the potential well model shows narrower translocation time distributions than discrete site models, aiding mechanism differentiation.
Area of Science:
- Biophysics
- Computational Biology
- Physical Chemistry
Background:
- Solute molecule translocation through channels is crucial in biological processes.
- The interaction potential of mean force (U(x)) describes solute-channel wall interactions.
- Reversible binding can be modeled as a potential well or a discrete trapping site.
Purpose of the Study:
- To investigate the differences between potential well and discrete site models for solute binding in channels.
- To determine if translocation time distributions can distinguish between these binding mechanisms.
- To analyze the coefficient of variation of translocation times.
Main Methods:
- One-dimensional theoretical modeling of solute-channel interactions.
- Parameterization of potential well and discrete site models to match thermodynamic properties.
- Analysis of translocation probabilities, mean translocation times, and translocation time distributions.
Main Results:
- Both models yield identical equilibrium distributions, translocation probabilities, and mean translocation times when thermodynamically matched.
- Qualitatively different translocation time distributions are predicted: narrower for the potential well model, broader for the discrete site model.
- The coefficient of variation of translocation time is consistently <1 for the potential well model and can be >1 for the discrete site model.
Conclusions:
- Translocation time distribution analysis, beyond its mean, can differentiate between potential well and discrete site binding mechanisms.
- The coefficient of variation serves as a key metric to distinguish these models.
- Understanding these distinct mechanisms is vital for interpreting solute transport in biological channels.
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