Recent advances, and unresolved issues, in the application of computational modelling to the prediction of the biological effects of nanomaterials

David Alan Winkler

    Research output: Contribution to journalArticlepeer-review

    62 Citations (Scopus)

    Abstract

    Nanomaterials research is one of the fastest growing contemporary research areas. The unprecedented properties of these materials have meant that they are being incorporated into products very quickly. Regulatory agencies are concerned they cannot assess the potential hazards of these materials adequately, as data on the biological properties of nanomaterials are still relatively limited and expensive to acquire. Computational modelling methods have much to offer in helping understand the mechanisms by which toxicity may occur, and in predicting the likelihood of adverse biological impacts of materials not yet tested experimentally. This paper reviews the progress these methods, particularly those QSAR-based, have made in understanding and predicting potentially adverse biological effects of nanomaterials, and also the limitations and pitfalls of these methods.

    Original languageEnglish
    Pages (from-to)96-100
    Number of pages5
    JournalToxicology and Applied Pharmacology
    Volume299
    Issue number5
    DOIs
    Publication statusPublished - 15 May 2016

    Keywords

    • Computational modelling
    • Molecular dynamics
    • Nanotoxicology
    • Quantitative structure-property relationship, QSPR
    • Recent advances
    • Unresolved issues

    Fingerprint

    Dive into the research topics of 'Recent advances, and unresolved issues, in the application of computational modelling to the prediction of the biological effects of nanomaterials'. Together they form a unique fingerprint.

    Cite this