Literature DB >> 26588975

Scalable Anisotropic Shape and Electrostatic Models for Biological Bromine Halogen Bonds.

Megan Carter1, Anthony K Rappé1, P Shing Ho1.   

Abstract

Halogens are important substituents of many drugs and secondary metabolites, but the structural and thermodynamic properties of their interactions are not properly treated by current molecular modeling and docking methods that assign simple isotropic point charges to atoms. Halogen bonds, for example, are becoming widely recognized as important for conferring specificity in protein-ligand complexes but, to this point, are most accurately described quantum mechanically. Thus, there is a need to develop methods to both accurately and efficiently model the energies and geometries of halogen interactions in biomolecular complexes. We present here a set of potential energy functions that, based on fundamental physical properties of halogens, properly model the anisotropic structure-energy relationships observed for halogen interactions from crystallographic and calorimetric data, and from ab initio calculations for bromine halogen bonds in a biological context. These energy functions indicate that electrostatics alone cannot account for the very short-range distances of bromine halogen bonds but require a flattening of the effective van der Waals radius that can be modeled through an angular dependence of the steric repulsion term of the standard Lennard-Jones type potential. This same function that describes the aspherical shape of the bromine is subsequently applied to model the charge distribution across the surface of the halogen, resulting in a force field that uniquely treats both the shape and electrostatic charge parameters of halogens anisotropically. Finally, the electrostatic potential was shown to have a distance dependence that is consistent with a charge-dipole rather than a simple Coulombic type interaction. The resulting force field for biological halogen bonds (ffBXB) is shown to accurately model the geometry-energy relationships of bromine interactions to both anionic and neutral oxygen acceptors and is shown to be tunable by simply scaling the electrostatic component to account for effects of varying electron-withdrawing substituents (as reflected in their Hammett constants) on the degree of polarization of the bromine. This approach has broad applications to modeling the structure-energy relationships of halogen interactions, including the rational design of inhibitors against therapeutic targets.

Entities:  

Year:  2012        PMID: 26588975     DOI: 10.1021/ct3001969

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  16 in total

1.  A quantum mechanics-based halogen bonding scoring function for protein-ligand interactions.

Authors:  Zhuo Yang; Yingtao Liu; Zhaoqiang Chen; Zhijian Xu; Jiye Shi; Kaixian Chen; Weiliang Zhu
Journal:  J Mol Model       Date:  2015-05-10       Impact factor: 1.810

2.  Force Field Model of Periodic Trends in Biomolecular Halogen Bonds.

Authors:  Matthew R Scholfield; Melissa Coates Ford; Crystal M Vander Zanden; M Marie Billman; P Shing Ho; Anthony K Rappé
Journal:  J Phys Chem B       Date:  2014-11-10       Impact factor: 2.991

3.  Molecular dynamics simulation of halogen bonding mimics experimental data for cathepsin L inhibition.

Authors:  Cristian Celis-Barros; Leslie Saavedra-Rivas; J Cristian Salgado; Bruce K Cassels; Gerald Zapata-Torres
Journal:  J Comput Aided Mol Des       Date:  2014-10-22       Impact factor: 3.686

4.  A knowledge-based halogen bonding scoring function for predicting protein-ligand interactions.

Authors:  Yingtao Liu; Zhijian Xu; Zhuo Yang; Kaixian Chen; Weiliang Zhu
Journal:  J Mol Model       Date:  2013-09-27       Impact factor: 1.810

5.  Force Fields for Small Molecules.

Authors:  Fang-Yu Lin; Alexander D MacKerell
Journal:  Methods Mol Biol       Date:  2019

6.  Polarizable Empirical Force Field for Halogen-Containing Compounds Based on the Classical Drude Oscillator.

Authors:  Fang-Yu Lin; Alexander D MacKerell
Journal:  J Chem Theory Comput       Date:  2018-01-31       Impact factor: 6.006

Review 7.  Halogen bonding (X-bonding): a biological perspective.

Authors:  Matthew R Scholfield; Crystal M Vander Zanden; Megan Carter; P Shing Ho
Journal:  Protein Sci       Date:  2012-12-29       Impact factor: 6.725

8.  Cooperative effects and optimal halogen bonding motifs for self-assembling systems.

Authors:  Xin Cindy Yan; Patric Schyman; William L Jorgensen
Journal:  J Phys Chem A       Date:  2014-04-08       Impact factor: 2.781

Review 9.  The Halogen Bond.

Authors:  Gabriella Cavallo; Pierangelo Metrangolo; Roberto Milani; Tullio Pilati; Arri Priimagi; Giuseppe Resnati; Giancarlo Terraneo
Journal:  Chem Rev       Date:  2016-01-26       Impact factor: 60.622

10.  AutoDock VinaXB: implementation of XBSF, new empirical halogen bond scoring function, into AutoDock Vina.

Authors:  Mathew R Koebel; Grant Schmadeke; Richard G Posner; Suman Sirimulla
Journal:  J Cheminform       Date:  2016-05-18       Impact factor: 5.514

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