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De novo Design of Selective Membrane-Active Peptides by Enzymatic Control of Their Conformational Bias on the Cell Surface.

ABSTRACT: Selectively targeting the membrane-perturbing potential of peptides towards a distinct cellular phenotype allows one to target distinct populations of cells. We report the de?novo design of a new class of peptide whose ability to perturb cellular membranes is coupled to an enzyme-mediated shift in the folding potential of the peptide into its bioactive conformation. Cells rich in negatively charged surface components that also highly express alkaline phosphatase, for example many cancers, are susceptible to the action of the peptide. The unfolded, inactive peptide is dephosphorylated, shifting its conformational bias towards cell-surface-induced folding to form a facially amphiphilic membrane-active conformer. The fate of the peptide can be further tuned by peptide concentration to affect either lytic or cell-penetrating properties, which are useful for selective drug delivery. This is a new design strategy to afford peptides that are selective in their membrane-perturbing activity.

SUBMITTER: Shi J

PROVIDER: S-EPMC6759387 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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De novo Design of Selective Membrane-Active Peptides by Enzymatic Control of Their Conformational Bias on the Cell Surface.

Shi Junfeng J Schneider Joel P JP

Angewandte Chemie (International ed. in English) 20190726 39

Selectively targeting the membrane-perturbing potential of peptides towards a distinct cellular phenotype allows one to target distinct populations of cells. We report the de novo design of a new class of peptide whose ability to perturb cellular membranes is coupled to an enzyme-mediated shift in the folding potential of the peptide into its bioactive conformation. Cells rich in negatively charged surface components that also highly express alkaline phosphatase, for example many cancers, are su ...[more]

PMID: 31268617

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Project description:Self-association is a common phenomenon in biology and one that can have positive and negative impacts, from the construction of the architectural cytoskeleton of cells to the formation of fibrils in amyloid diseases. Understanding the nature and mechanisms of self-association is important for modulating these systems and in creating biologically-inspired materials. Here, we present a two-stage de novo peptide design framework that can generate novel self-associating peptide systems. The first stage uses a simulated multimeric template structure as input into the optimization-based Sequence Selection to generate low potential energy sequences. The second stage is a computational validation procedure that calculates Fold Specificity and/or Approximate Association Affinity (K*association) based on metrics that we have devised for multimeric systems. This framework was applied to the design of self-associating tripeptides using the known self-associating tripeptide, Ac-IVD, as a structural template. Six computationally predicted tripeptides (Ac-LVE, Ac-YYD, Ac-LLE, Ac-YLD, Ac-MYD, Ac-VIE) were chosen for experimental validation in order to illustrate the self-association outcomes predicted by the three metrics. Self-association and electron microscopy studies revealed that Ac-LLE formed bead-like microstructures, Ac-LVE and Ac-YYD formed fibrillar aggregates, Ac-VIE and Ac-MYD formed hydrogels, and Ac-YLD crystallized under ambient conditions. An X-ray crystallographic study was carried out on a single crystal of Ac-YLD, which revealed that each molecule adopts a ?-strand conformation that stack together to form parallel ?-sheets. As an additional validation of the approach, the hydrogel-forming sequences of Ac-MYD and Ac-VIE were shuffled. The shuffled sequences were computationally predicted to have lower K*association values and were experimentally verified to not form hydrogels. This illustrates the robustness of the framework in predicting self-associating tripeptides. We expect that this enhanced multimeric de novo peptide design framework will find future application in creating novel self-associating peptides based on unnatural amino acids, and inhibitor peptides of detrimental self-aggregating biological proteins.

Dataset Information

De novo Design of Selective Membrane-Active Peptides by Enzymatic Control of Their Conformational Bias on the Cell Surface.

Publications

De novo Design of Selective Membrane-Active Peptides by Enzymatic Control of Their Conformational Bias on the Cell Surface.

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