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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

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Published on: April 12, 2019

Parameter choice matters: validating probe parameters for use in mixed-solvent simulations.

Katrina W Lexa¹, Garrett B Goh, Heather A Carlson

¹Department of Medicinal Chemistry, College of Pharmacy, University of Michigan, Ann Arbor , 428 Church St., Ann Arbor, Michigan 48109-1065, United States.

Journal of Chemical Information and Modeling

|July 25, 2014

Summary

This summary is machine-generated.

This study introduces new organic probes for mixed-solvent molecular dynamics (MixMD) to improve drug design. These validated probes enhance the identification of binding sites by considering protein flexibility and solvation effects.

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Area of Science:

Computational Chemistry
Structural Biology
Drug Discovery

Background:

Traditional probe mapping in drug design uses static structures and gas-phase calculations.
Mixed-solvent molecular dynamics (MixMD) was developed to include protein flexibility and solvation.
Previous MixMD studies were limited to a single probe (acetonitrile).

Purpose of the Study:

To expand the range of functional group probes for MixMD.
To validate new organic solvents for enhanced hot-spot mapping.
To improve the identification of diverse binding site characteristics.

Main Methods:

Tested 11 solvents for compatibility with TIP3P water in MixMD simulations.
Validated probe parameters to ensure proper mixed-solvent behavior.
Employed radial distribution functions to assess solvent mixing and phase separation.

Main Results:

Identified six suitable organic probes: acetone, N-methylacetamide, imidazole, pyrimidine, acetonitrile, and isopropanol.
Demonstrated the successful incorporation of binary and ternary solvent systems.
Showed that layered solvent boxes mix evenly within 5 ns without artificial repulsion terms.

Conclusions:

The validated set of probes enables MixMD to map hydrogen-bonding sites, hydrophobic pockets, protein-protein interactions, and aromatic hotspots.
Radial distribution functions are recommended for assessing solvent mixing in mixed-solvent techniques.
This approach offers a more accurate and comprehensive method for structure-based drug design.