Partial alignment and measurement of residual dipolar couplings of proteins under high hydrostatic pressure

High-pressure NMR spectroscopy has emerged as a complementary approach for investigating various structural and thermodynamic properties of macromolecules. Noticeably absent from the array of experimental restraints that have been employed to characterize protein structures at high hydrostatic pressure is the residual dipolar coupling, which requires the partial alignment of the macromolecule of interest. Here we examine five alignment media that are commonly used at ambient pressure for this purpose. We find that the spontaneous alignment of Pf1 phage, d(GpG) and a C12E5/n-hexnanol mixture in a magnetic field is preserved under high hydrostatic pressure. However, DMPC/ DHPC bicelles and collagen gel are found to be unsuitable. Evidence is presented to demonstrate that pressure-induced structural changes can be identified using the residual dipolar coupling

Reverse Micelles in Integral Membrane Protein Structural Biology by Solution NMR Spectroscopy

SummaryIntegral membrane proteins remain a significant challenge to structural studies by solution NMR spectroscopy. This is due not only to spectral complexity, but also because the effects of slow molecular reorientation are exacerbated by the need to solubilize the protein in aqueous detergent micelles. These assemblies can be quite large and require deuteration for optimal use of the TROSY effect. In principle, another approach is to employ reverse micelle encapsulation to solubilize the protein in a low-viscosity solvent in which the rapid tumbling of the resulting particle allows for use of standard triple-resonance methods. The preparation of such samples of membrane proteins is difficult. Using a 54 kDa construct of the homotetrameric potassium channel KcsA, we demonstrate a strategy that employs a hybrid surfactant to transfer the protein to the reverse micelle system

Statistical strategy for stereospecific hydrogen NMR assignments: Validation procedures for the floating prochirality method

We examine the statistical and other considerations which determine the validity and reproducibility of stereospecific hydrogen NMR assignments obtained by the floating prochirality method. In this method, the assignment of a prochiral configuration of hydrogens at selected centers is allowed to ‘float’ during the structure refinement, and the distribution of prochiral orientations in highly refined structures is subjected to statistical analysis. The underlying statistical basis for this approach is examined and potential limitations of current approaches are identified. As an example, approximately 1300 distance constraints obtained from NOESY spectra of oxidized horse cytochrome c have been used to examine several computational strategies. Repeated calculations were done by several different methods on both the whole molecule (104 residues plus heme) and on a 23-residue fragment containing two helices, a turn, and flanking residues. The results show that, even with NOE constraints alone, one third of the centers may be reproducibly assigned, provided appropriate precautions are taken. These precautions include adjustments for multiple statistical comparisons and characterization of statistical interactions between prochiral centers. The analysis demonstrates that inadequately constrained systems, such as fragments from a larger molecule, may produce misleading results, raising concerns about methods which rely solely on intraresidue and sequential interresidue contraints. A mathematical model describing interactions among prochiral centers is described and validated, and protocols for assignment and statistical validation are presented.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/43048/1/10858_2004_Article_BF00198371.pd

Protein conformational entropy is not slaved to water

Conformational entropy can be an important element of the thermodynamics of protein functions such as the binding of ligands. The observed role for conformational entropy in modulating molecular recognition by proteins is in opposition to an often-invoked theory for the interaction of protein molecules with solvent water. The solvent slaving model predicts that protein motion is strongly coupled to various aspects of water such as bulk solvent viscosity and local hydration shell dynamics. Changes in conformational entropy are manifested in alterations of fast internal side chain motion that is detectable by NMR relaxation. We show here that the fast-internal side chain dynamics of several proteins are unaffected by changes to the hydration layer and bulk water. These observations indicate that the participation of conformational entropy in protein function is not dictated by the interaction of protein molecules and solvent water under the range of conditions normally encountered

Deep mining of the protein energy landscape

For over half a century, it has been known that protein molecules naturally undergo extensive structural fluctuations, and that these internal motions are intimately related to their functional properties. The energy landscape view has provided a powerful framework for describing the various physical states that proteins visit during their lifetimes. This Perspective focuses on the commonly neglected and often disparaged axis of the protein energy landscape: entropy. Initially seen largely as a barrier to functionally relevant states of protein molecules, it has recently become clear that proteins retain considerable conformational entropy in the “native” state, and that this entropy can and often does contribute significantly to the free energy of fundamental protein properties, processes, and functions. NMR spectroscopy, molecular dynamics simulations, and emerging crystallographic views have matured in parallel to illuminate dynamic disorder of the “ground state” of proteins and their importance in not only transiting between biologically interesting structures but also greatly influencing their stability, cooperativity, and contribution to critical properties such as allostery