Development of protease resistant and non-cytotoxic Jelleine analogs with enhanced broad spectrum antimicrobial efficacy.

Short systemic half- life of Antimicrobial Peptides (AMP) is one of the major bottlenecks that limits their successful commercialization as therapeutics. In this work, we have designed analogs of the natural AMP Jelleine, obtained from royal jelly of apis mellifera. Among the designed peptides, J3 and J4 were the most potent with broad spectrum activities against a varied class of ESKAPE pathogens and fungus C. albicans. All the developed peptides were more effective against Gram-negative bacteria in comparison to the Gram-positive pathogens, and were especially effective against P. aeruginosa and C. albicans.J3 and J4 were completely trypsin resistant and serum stable, while retaining the non-cytotoxicity of the parent Jelleine, Jc. The designed peptides were membranolytic in their mode of action. CD and MD simulations in the presence of bilayers, established that J3 and J4 were non-structured even upon membrane binding and suggested that biological properties of the AMPs were innocent of any specific secondary structural requirements. Enhancement of charge to increase the antimicrobial potency, controlling the hydrophobic-hydrophilic balance to maintain non-cytotoxicity and induction of unnatural amino acid residues to impart protease resistance, remains some of the fundamental principles in the design of more effective antimicrobial therapeutics of the future, which may help combat the quickly rising menace of antimicrobial resistance in the microbes.

Energetics based spike generation of a single neuron: simulation results and analysis.

Existing current based models that capture spike activity, though useful in studying information processing capabilities of neurons, fail to throw light on their internal functioning. It is imperative to develop a model that captures the spike train of a neuron as a function of its intracellular parameters for non-invasive diagnosis of diseased neurons. This is the first ever article to present such an integrated model that quantifies the inter-dependency between spike activity and intracellular energetics. The generated spike trains from our integrated model will throw greater light on the intracellular energetics than existing current models. Now, an abnormality in the spike of a diseased neuron can be linked and hence effectively analyzed at the energetics level. The spectral analysis of the generated spike trains in a time-frequency domain will help identify abnormalities in the internals of a neuron. As a case study, the parameters of our model are tuned for Alzheimer's disease and its resultant spike trains are studied and presented. This massive initiative ultimately aims to encompass the entire molecular signaling pathways of the neuronal bioenergetics linking it to the voltage spike initiation and propagation; due to the lack of experimental data quantifying the inter dependencies among the parameters, the model at this stage adopts a particular level of functionality and is shown as an approach to study and perform disease modeling at the spike train and the mitochondrial bioenergetics level.