title: Structure refinement of a cyclic peptide from two-dimensional NMR data and molecular modeling.
abstract: The conformational and dynamic properties of a cyclic peptide designed to inhibit human renin have been examined by using NMR and molecular modeling. From a quantitative analysis of a series of two-dimensional NOE data sets, proton-proton distances were calculated. Several different methods were explored and compared to incorporate these distance constraints as well as those derived from vicinal spin-spin coupling constants into computer-generated three-dimensional structures. These methods included interactive manual manipulation of the structures to fit the NMR-determined distance constraints, distance geometry, constrained energy minimizations, and constrained molecular dynamics. The advantages and disadvantages of the methods are discussed. In addition, to gain insight into the conformations accessible to the cyclic peptide and the relative flexibility of the different parts of the molecule, molecular dynamics calculations were performed at three different temperatures. Average interproton distances and dihedral angles were obtained from the structures generated in the dynamics trajectories and compared to those obtained from the NMR experiments. Despite the four methylene groups and ether linkage contained in the cyclic portion of the peptide, our NMR results indicated a preferred conformation for the macrocyclic ring of the peptide and supported the presence of a cis Phe-Ala peptide bond. In contrast, both the molecular dynamics and NMR data indicated a considerable amount of flexibility for the remaining noncyclic portion of the molecule. These results are used to propose an explanation for the cyclic peptide's inability to inhibit human renin.
authors.forename: S W
authors.initials: SW
authors.lastname: Fesik
authors.forename: G
authors.initials: G
authors.lastname: Bolis
authors.forename: H L
authors.initials: HL
authors.lastname: Sham
authors.forename: E T
authors.initials: ET
authors.lastname: Olejniczak
mesh_terms: D000465:Algorithms; D006801:Humans; D009682:Magnetic Resonance Spectroscopy / Q000379:methods; D008958:Models, Molecular; D010456:Peptides, Cyclic / Q000494:pharmacology; D011487:Protein Conformation; D000092502:Renin Inhibitors
chemical_list: D010456:Peptides, Cyclic; D000092502:Renin Inhibitors