Polarizable multipolar electrostatics for cholesterol

Research output: Contribution to journalArticle

Abstract

FFLUX is a novel force field under development for biomolecular modelling, and is based on topological atoms and the machine learning method kriging. Successful kriging models have been obtained for realistic electrostatics of amino acids, small peptides, and some carbohydrates but here, for the first time, we construct kriging models for a sizeable ligand of great importance, which is cholesterol. Cholesterol's mean total (internal) electrostatic energy prediction error amounts to 3.9 kJ mol-1, which pleasingly falls below the threshold of 1 kcal mol-1 often cited for accurate biomolecular modelling. We present a detailed analysis of the error distributions.

Bibliographical metadata

Original languageEnglish
Pages (from-to)10-15
Number of pages6
JournalChemical Physics Letters
Volume659
Early online date16 Jun 2016
DOIs
StatePublished - 16 Aug 2016