Polarizable multipolar electrostatics for cholesterol

Timothy L. Fletcher, Paul L A Popelier*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    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.

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

    Research Beacons, Institutes and Platforms

    • Manchester Institute of Biotechnology

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