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From Molecules to Materials: Engineering New Ionic Liquid Crystals Through Halogen Bonding

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Molecular Interaction Fields Describing Halogen Bond Formable Areas on Protein Surfaces.

Daichi Hayakawa¹, Yurie Watanabe¹, Hiroaki Gouda¹

¹Division of Biophysical Chemistry, Department of Pharmaceutical Sciences, Graduate School of Pharmacy, Showa University, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo 142-8555, Japan.

Journal of Chemical Information and Modeling

|July 16, 2024

Summary

This study introduces a fast method for computing molecular interaction fields (MIFs) using approximations. The approach accurately identifies potential halogen bonding sites on protein surfaces, aiding drug discovery.

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Published on: February 15, 2016

Area of Science:

Computational chemistry
Molecular modeling
Drug discovery

Background:

Molecular Interaction Fields (MIFs) map intermolecular interactions around molecules.
Accurate MIF computation is crucial for understanding molecular recognition.
Existing methods can be computationally intensive.

Purpose of the Study:

To develop a computationally efficient method for calculating MIFs.
To approximate quantum mechanics-level MIFs of small molecules for broader application.
To validate the method's ability to identify key interaction sites, such as halogen bonds.

Main Methods:

Approximation of quantum mechanics-level MIFs using small model molecules.
Precise approximation of MIF functions for N-methylacetamide with halogenated benzene probes.
Calculation of MIFs on protein surfaces using the approximated functions.

Main Results:

The proposed method enables fast computation of MIFs.
Approximated MIF functions accurately reproduced halogen-bond-formable regions.
The method successfully identified potential halogen bonding areas in protein ligand-binding sites.

Conclusions:

The developed method offers a rapid and accurate way to compute MIFs.
This approach is effective in predicting halogen bonding interactions on protein surfaces.
The findings facilitate the identification of ligand-binding sites and support drug design efforts.