Dataset Information

Protonation Enhances the Inherent Helix-Forming Propensity of pHLIP.

ABSTRACT: Cell-penetrating peptides (CPPs) can be potentially used in targeted delivery of therapeutic cargoes. However, their conformation in solution is poorly understood. We employed molecular dynamics simulations to probe the structural fluctuations of an anionic CPP, pH Low Insertion Peptide (pHLIP), in solution to determine the effects of modifications to selected residues on the structure of pHLIP. Two types of modifications were tested: (1) protonation of aspartic acid residues and (2) point mutations known to affect the acid sensitivity of pHLIP. pHLIP samples conformations ranging from coil to helix to sheet, and modifications to pHLIP lead to subtle shifts in the balance between these conformations. In some instances, pHLIP is as likely to form a helical conformation as it is to form an unstructured coil. Understanding the behavior of pHLIP in solution is necessary for determining optimal conditions for administration of pHLIP and design of promising pHLIP variants.

SUBMITTER: Gupta C

PROVIDER: S-EPMC5709774 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Protonation Enhances the Inherent Helix-Forming Propensity of pHLIP.

Gupta Chitrak C Mertz Blake B

ACS omega 20171101 11

Cell-penetrating peptides (CPPs) can be potentially used in targeted delivery of therapeutic cargoes. However, their conformation in solution is poorly understood. We employed molecular dynamics simulations to probe the structural fluctuations of an anionic CPP, pH Low Insertion Peptide (pHLIP), in solution to determine the effects of modifications to selected residues on the structure of pHLIP. Two types of modifications were tested: (1) protonation of aspartic acid residues and (2) point mutat ...[more]

PMID: 29214239

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Project description:A growing number of studies employ time-averaged experimental data to determine dynamic ensembles of biomolecules. While it is well-known that different ensembles can satisfy experimental data to within error, the extent and nature of these degeneracies, and their impact on the accuracy of the ensemble determination remains poorly understood. Here, we use simulations and a recently introduced metric for assessing ensemble similarity to explore degeneracies in determining ensembles using NMR residual dipolar couplings (RDCs) with specific application to A-form helices in RNA. Various target ensembles were constructed representing different domain-domain orientational distributions that are confined to a topologically restricted (<10%) conformational space. Five independent sets of ensemble averaged RDCs were then computed for each target ensemble and a "sample and select" scheme used to identify degenerate ensembles that satisfy RDCs to within experimental uncertainty. We find that ensembles with different ensemble sizes and that can differ significantly from the target ensemble (by as much as ∑Ω ∼ 0.4 where ∑Ω varies between 0 and 1 for maximum and minimum ensemble similarity, respectively) can satisfy the ensemble averaged RDCs. These deviations increase with the number of unique conformers and breadth of the target distribution, and result in significant uncertainty in determining conformational entropy (as large as 5 kcal/mol at T = 298 K). Nevertheless, the RDC-degenerate ensembles are biased toward populated regions of the target ensemble, and capture other essential features of the distribution, including the shape. Our results identify ensemble size as a major source of uncertainty in determining ensembles and suggest that NMR interactions such as RDCs and spin relaxation, on their own, do not carry the necessary information needed to determine conformational entropy at a useful level of precision. The framework introduced here provides a general approach for exploring degeneracies in ensemble determination for different types of experimental data.

Dataset Information

Protonation Enhances the Inherent Helix-Forming Propensity of pHLIP.

Publications

Protonation Enhances the Inherent Helix-Forming Propensity of pHLIP.

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