Publications by authors named "Mara Kozic"

The long-standing goal in the field of peptide antibiotics has been to design lead compounds that have a wide spectrum of excellent antibacterial activity but are nontoxic to human cells. Gram-negative and Gram-positive bacteria have very different membranes, which are additionally modified in some drug-resistant species, presenting a challenge for the design of a single membrane-active peptide able to adapt its conformation to various physical properties of membrane microenvironments. In this paper, we describe how a peptide sequence can be constructed starting from an adaptable dynamic turn tandem motif in a central location.

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Antimicrobial resistance within a wide range of infectious agents is a severe and growing public health threat. Antimicrobial peptides (AMPs) are among the leading alternatives to current antibiotics, exhibiting broad spectrum activity. Their activity is determined by numerous properties such as cationic charge, amphipathicity, size, and amino acid composition.

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The global spreading of multidrug resistance has motivated the search for new antibiotic classes including different types of antimicrobial peptides (AMPs). Computational methods for predicting activity in terms of the minimal inhibitory concentration (MIC) of AMPs can facilitate "in silico" design and reduce the cost of synthesis and testing. We have used an original method for separating training and test data sets, both of which contain the sequences and measured MIC values of non-homologous anuran peptides having the Rana-box disulfide motif at their C-terminus.

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