Designed peptide with a flexible central motif from ranatuerins adapts its conformation to bacterial membranes.

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. The peptide, named flexampin, has been examined firstly by molecular dynamics simulations. It uses a flexible central motif and designed helix-forming cationic amphipathic arms to form a boomerang-like, L-shape, V-shape, and hairpin, super-secondary structures, whichever is the best in matching amphipathic and hydrophobic microenvironments it encounters. Secondly, activity measurements showed that flexampin is bactericidal at low micromolar concentrations against Gram-positive and Gram-negative strains including some multidrug resistant clinical isolates, while it is nontoxic for human circulating blood cells, does not cause DNA damage, and has good selectivity for bacterial cells in comparison to human cells. It is the first membrane-active peptide designed with the ability to self-adjust the orientation of its two cationic helical arms, 3D-hydrophobic moment, and dipole moment for obtaining a better grasp of anionic polar head groups at bacterial membrane surfaces.

Large scale ab initio modeling of structurally uncharacterized antimicrobial peptides reveals known and novel folds.

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. Currently, only around 10% of known AMP sequences have experimentally solved structures. To improve our understanding of the AMP structural universe we have carried out large scale ab initio 3D modeling of structurally uncharacterized AMPs that revealed similarities between predicted folds of the modeled sequences and structures of characterized AMPs. Two of the peptides whose models matched known folds are Lebocin Peptide 1A (LP1A) and Odorranain M, predicted to form ß-hairpins but, interestingly, to lack the intramolecular disulfide bonds, cation-π or aromatic interactions that generally stabilize such AMP structures. Other examples include Ponericin Q42, Latarcin 4a, Kassinatuerin 1, Ceratotoxin D, and CPF-B1 peptide, which have α-helical folds, as well as mixed αß folds of human Histatin 2 peptide and Garvicin A which are, to the best of our knowledge, the first linear αßß fold AMPs lacking intramolecular disulfide bonds. In addition to fold matches to experimentally derived structures, unique folds were also obtained, namely for Microcin M and Ipomicin. These results help in understanding the range of protein scaffolds that naturally bear antimicrobial activity and may facilitate protein design efforts towards better AMPs.

Predicting the Minimal Inhibitory Concentration for Antimicrobial Peptides with Rana-Box Domain.

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. Using a more flexible profiling methodology (sideways asymmetry moment, SAM) than the standard hydrophobic moment, we have developed a two-descriptor model to predict the bacteriostatic activity of Rana-box peptides against Gram-negative bacteria--the first multilinear quantitative structure-activity relationship model capable of predicting MIC values for AMPs of widely different lengths and low identity using such a small number of descriptors. Maximal values for SAMs, as defined and calculated in our method, furthermore offer new structural insight into how different segments of a peptide contribute to its bacteriostatic activity, and this work lays the foundations for the design of active artificial AMPs with this type of disulfide bridge.