@article { , title = {Validating a Predictive Structure-Property Relationship by Discovery of Novel Polymers which Reduce Bacterial Biofilm Formation}, abstract = {ynthetic materials are an everyday component of modern healthcare yet often fail routinely as a consequence of medical‐device‐centered infections. The incidence rate for catheter‐associated urinary tract infections is between 3\% and 7\% for each day of use, which means that infection is inevitable when resident for sufficient time. The O'Neill Review on antimicrobial resistance estimates that, left unchecked, ten million people will die annually from drug‐resistant infections by 2050. Development of biomaterials resistant to bacterial colonization can play an important role in reducing device‐associated infections. However, rational design of new biomaterials is hindered by the lack of quantitative structure–activity relationships (QSARs). Here, the development of a predictive QSAR is reported for bacterial biofilm formation on a range of polymers, using calculated molecular descriptors of monomer units to discover and exemplify novel, biofilm‐resistant (meth‐)acrylate‐based polymers. These predictions are validated successfully by the synthesis of new monomers which are polymerized to create coatings found to be resistant to biofilm formation by six different bacterial pathogens: Pseudomonas aeruginosa, Proteus mirabilis, Enterococcus faecalis, Klebsiella pneumoniae, Escherichia coli, and Staphylococcus aureus.}, doi = {10.1002/adma.201903513}, eissn = {1521-4095}, issn = {0935-9648}, issue = {49}, journal = {Advanced Materials}, publicationstatus = {Published}, publisher = {Wiley}, url = {https://nottingham-repository.worktribe.com/output/2612269}, volume = {31}, keyword = {low-fouling, polymer microarray, QSAR, transesterification, biofilms}, year = {2019}, author = {Dundas, Adam A. and Sanni, Olutoba and Dubern, Jean-Frdric and Dimitrakis, Georgios and Hook, Andrew L. and Irvine, Derek J. and Williams, Paul and Alexander, Morgan R.} }