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A Tripeptide-Stabilized Nanoemulsion of Oleic Acid
Published on: February 27, 2019
Comparison of free-energy methods using a tripeptide-water model system
Manuela Maurer1, Niels Hansen2, Chris Oostenbrink1
1Department of Material Sciences and Process Engineering, Institute of Molecular Modeling and Simulation, University of Natural Resources and Life Sciences, Muthgasse 18, A-1190, Vienna, Austria.
Bennett acceptance ratio (BAR) and extended thermodynamic integration (X-TI) are best for combining alchemical changes in molecular simulations, especially for modeling water displacement in protein active sites for drug design.
Area of Science:
- Computational chemistry
- Molecular modeling
- Biophysics
Background:
- Accurately calculating binding affinities is crucial for drug design.
- Modeling the displacement of structural water molecules in protein active sites presents a significant challenge.
- Free-energy calculation methods are essential for predicting molecular interactions.
Purpose of the Study:
- To evaluate the performance of various free-energy calculation methods for combining two alchemical changes.
- To compare pairwise and two-dimensional approaches for perturbing a water molecule and an amino acid simultaneously.
- To assess the feasibility, efficiency, and usability of these methods in a model system mimicking protein residue mutation.
Main Methods:
- Bennett acceptance ratio (BAR)
- Thermodynamic integration (TI)
- Extended TI (X-TI)
- Enveloping distribution sampling (EDS)
- Two-dimensional TI (2D-TI)
- EDS-TI
Main Results:
- Pairwise methods like BAR and X-TI were found to be most suitable for the investigated problem.
- Two-dimensional methods (EDS-TI, 2D-TI) were also presented and compared.
- The model system simulated the displacement of a water molecule in a protein active site during residue mutation.
Conclusions:
- BAR and X-TI are currently the most practical methods for handling problems involving few end states, such as modeling structural water displacement.
- Accurate treatment of structural water is vital for successful binding affinity calculations in computational drug design.
- Further development of computational methods is needed for more complex systems.
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