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Modelling and Prediction of Bacterial Attachment to Polymers

机译:细菌附着在聚合物上的建模和预测

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摘要

Infection by pathogenic bacteria on implanted and indwelling medical devices during surgery causes large morbidity and mortality worldwide. Attempts to ameliorate this important medical issue have included development of antimicrobial surfaces on materials, "no touch" surgical procedures, and development of materials with inherent low pathogen attachment. The search for new materials is increasingly being carried out by high throughput methods. Efficient methods for extracting knowledge from these large data sets are essential. Data from a large polymer microarray exposed to three clinical pathogens is used to derive robust and predictive machine-learning models of pathogen attachment. The models can predict pathogen attachment for the polymer library quantitatively. The models also successfully predict pathogen attachment for a second-generation library, and identify polymer surface chemistries that enhance or diminish pathogen attachment.
机译:在手术期间,病原菌在植入和留置的医疗设备上的感染导致全世界范围内的高发病率和死亡率。改善这一重要医学问题的尝试包括开发材料上的抗菌表面,“不接触”手术程序以及开发固有的病原体附着率低的材料。通过高通量方法越来越多地寻找新材料。从这些大数据集中提取知识的有效方法至关重要。来自暴露于三种临床病原体的大型聚合物微阵列的数据可用于得出病原体附着的稳健且可预测的机器学习模型。该模型可以定量预测聚合物库中病原体的附着情况。该模型还成功地预测了第二代文库的病原体附着,并确定了增强或减少病原体附着的聚合物表面化学。

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  • 来源
    《Advanced Functional Materials》 |2014年第14期|2085-2093|共9页
  • 作者单位

    CSIRO Materials Science & Engineering Parkville 3052, Australia;

    Laboratory of Biophysics and Surface Analysis University of Nottingham, Nottingham NG7 2RD, UK;

    School of Molecular Medical Sciences University of Nottingham Nottingham, NG7 2RD, UK;

    Laboratory of Biophysics and Surface Analysis University of Nottingham, Nottingham NG7 2RD, UK;

    Koch Institute for Integrative Cancer Research Massachusetts Institute ofTechnology Cambridge, MA 02139, USA,Department of Chemical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA,Division of Health Science Technology Massachusetts Institute of Technology Cambridge, MA 02139, USA;

    Koch Institute for Integrative Cancer Research Massachusetts Institute ofTechnology Cambridge, MA 02139, USA,Department of Chemical Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA,Division of Health Science Technology Massachusetts Institute of Technology Cambridge, MA 02139, USA;

    School of Molecular Medical Sciences University of Nottingham Nottingham, NG7 2RD, UK;

    Laboratory of Biophysics and Surface Analysis University of Nottingham, Nottingham NG7 2RD, UK;

    Laboratory of Biophysics and Surface Analysis University of Nottingham, Nottingham NG7 2RD, UK;

    Monash Institute of Pharmaceutical Sciences Parkville 3052, Australia,CSIRO Materials Science & Engineering Clayton 3168, Australia;

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