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