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1.
Biochim Biophys Acta Gen Subj ; 1861(11 Pt A): 2861-2871, 2017 Nov.
Article in English | MEDLINE | ID: mdl-28780126

ABSTRACT

BACKGROUND: Leishmaniasis threatens poor areas population worldwide, requiring new drugs less prone to resistance development. Antimicrobial peptides with antileishmanial activity are considered among fulfilling alternatives, but not much is known about the mode of action of membrane-targeting peptides, considering promastigote and infected macrophage membranes. In a previous work, structural features of very active known peptides were prospected using molecular dynamics simulations. METHODS: Combining sequences of these peptides, analogs were designed. The structure of analog DecP-11 was validated by NMR. In vitro bioassays determined the peptide cytotoxicity toward mammalian cells, IC50 values on promastigotes and amastigotes, and membranolytic activity compared to Decoralin, one of the parent peptides. With biophysical methods, the mechanism of interaction with membrane mimetic systems was investigated. RESULTS: The designed peptide exhibits potent cytolytic and membrane permeabilizing activities, and decreased antileishmanial activity compared to the parent peptide. Interactions with lipid bilayers mimicking those of promastigotes, infected macrophage and mammalian cells showed that these peptides strongly bind to vesicles with intense lytic activity at low concentrations. Additionally, circular dichroism and light scattering experiments showed changes in the secondary structure of peptides and in vesicle size, depending on vesicles compositions. Altogether they suggest that DecP-11 antileishmanial activity is impaired by the aggregation and that aminophospholipids are probably involved. CONCLUSIONS: DecP-11 potent cytolytic and membranolytic activities with lack of selectivity toward promastigote model membranes warrant further structural studies to improve selectivity. GENERAL SIGNIFICANCE: Strong interactions of peptides with aminophospholipids, abundant in parasite membranes, potentially lead to aggregated forms impairing activity.


Subject(s)
Antimicrobial Cationic Peptides/chemistry , Biophysics , Cell Membrane/drug effects , Leishmaniasis/drug therapy , Amino Acid Sequence/genetics , Animals , Antimicrobial Cationic Peptides/genetics , Antimicrobial Cationic Peptides/therapeutic use , Cell Membrane/chemistry , Circular Dichroism , Leishmaniasis/parasitology , Molecular Dynamics Simulation , Protein Structure, Secondary , Structure-Activity Relationship
2.
Chem Biol Drug Des ; 90(4): 501-510, 2017 Oct.
Article in English | MEDLINE | ID: mdl-28267894

ABSTRACT

Leishmaniasis, a protozoan-caused disease, requires alternative treatments with minimized side-effects and less prone to resistance development. Antimicrobial peptides represent a possible choice to be developed. We report on the prospection of structural parameters of 23 helical antimicrobial and leishmanicidal peptides as a tool for modeling and predicting the activity of new peptides. This investigation is based on molecular dynamic simulations (MD) in mimetic membrane environment, as most of these peptides share the feature of interacting with phospholipid bilayers. To overcome the lack of experimental data on peptides' structures, we started simulations from designed 100% α-helices. This procedure was validated through comparisons with NMR data and the determination of the structure of Decoralin-amide. From physicochemical features and MD results, descriptors were raised and statistically related to the minimum inhibitory concentration against Leishmania by the multivariate data analysis technique. This statistical procedure confirmed five descriptors combined by different loadings in five principal components. The leishmanicidal activity depends on peptides' charge, backbone solvation, volume, and solvent-accessible surface area. The generated model possesses good predictability (q2  = 0.715, r2  = 0.898) and is indicative for the most and the least active peptides. This is a novel theoretical path for structure-activity studies combining computational methods that identify and prioritize the promising peptide candidates.


Subject(s)
Antimicrobial Cationic Peptides/chemistry , Antimicrobial Cationic Peptides/pharmacology , Antiprotozoal Agents/chemistry , Antiprotozoal Agents/pharmacology , Leishmania/drug effects , Drug Design , Humans , Leishmaniasis/drug therapy , Molecular Dynamics Simulation , Multivariate Analysis
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