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Organic Magnetic Resonance
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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PubMed Central
Article . 2025
License: CC BY
Data sources: PubMed Central
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Heterophyllin B: Combining Isotropic and Anisotropic NMR for the Conformational Analysis of a Natural Occurring Cyclic Peptide

Authors: Anton F. Ketzel; Yang Hu; Xiao‐Lu Li; Jiaqian Li; Xinxiang Lei; Han Sun;

Heterophyllin B: Combining Isotropic and Anisotropic NMR for the Conformational Analysis of a Natural Occurring Cyclic Peptide

Abstract

ABSTRACT Heterophyllin B is a natural occurring cyclic peptide with diverse attributed bioactivities. NMR‐based conformational analysis of cyclic peptides often poses a challenge due to limited isotropic solution‐state NMR data. In this study, we combined isotropic and anisotropic NMR observables including J ‐coupling, NOEs, amide proton temperature coefficients, and residual dipolar couplings (RDCs), which enabled the determination of a minimal conformational ensemble of heterophyllin B in methanol at density functional theory (DFT) accuracy. For conformational sampling of a cyclic peptide with a high degree of conformational freedom, we proposed a computational strategy that combines the Conformer–Rotamer Ensemble Sampling Tool (CREST) with the Commandline Energetic SOrting (CENSO). This combined computational and NMR‐based approach offers a robust framework for the conformational analysis of cyclic peptides.

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Keywords

Magnetic Resonance Spectroscopy, Protein Conformation, Anisotropy, Peptides, Cyclic, Nuclear Magnetic Resonance, Biomolecular, Density Functional Theory, Research Article

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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