Oriented-sample (OS) solid-state NMR can be used to determine structures of membrane proteins without crystallization and use of cryogenic temperatures. Here, the orientationally dependent dipolar couplings and chemical shifts provide direct input for structure calculations. However, so far only the 1H-15N dipolar couplings and 15N chemical shifts have been routinely assessed in 15N labeled protein samples. While highly efficient for determining the tilt angles of short α-helical peptides, these two measurements alone are likely insufficient for determining protein structures of arbitrary topology. Therefore, determination of tertiary structures of membrane proteins by OS NMR requires measurements of additional angular restraints. Here we have developed a new experimental triple-resonance NMR technique, which was applied to uniformly doubly (15N, 13C) labeled Pf1 coat protein reconstituted in magnetically aligned DMPC/DHPC bicelles. The previously inaccessible 1Hα-13Cα dipolar couplings, which represent powerful chiral angular restraints, have been measured for the resolved NMR resonances of the transmembrane domain of Pf1. Inclusion of the third restraint makes it possible to determine the torsion angles Φ and Ψ between the adjacent peptide planes without assuming α-helical structure a priori. Using our recently developed structure calculation algorithm [1], simultaneous fitting of three restraints per peptide plane has resulted in families of structures which have subsequently been filtered using various Rosetta scoring functions including the energetics within the membrane environment, hydrogen bonding, and potential steric clashes. Such structural validation protocol has led to a consensus α-helical transmembrane structure for Pf1 coat protein, albeit obtained in a de novo fashion, thus greatly enhancing utility of OS NMR as a “crystallography” in near-native membrane environments. [1]. Lapin, J. and Nevzorov A.A., Validation of protein backbone structures calculated from NMR angular restraints using Rosetta, J. Biomol. NMR, 2019; 73(5):229-244.
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