Elucidating binding mechanisms and dynamics of intrinsically disordered protein complexes using NMR spectroscopy

1. Download : Download high-res image (75KB)
2. Download : Download full-size image

     

Outline and computational approaches of protein misfolding

Protein misfolding is a general causation of classical conformational diseases and many pathogenic changes that are the result of structural conversion. Here I review recent progress in clinical and computational approaches for each stage of the misfolding process, aiming to present readers an outline for swift comprehension of this field.     

Multistate approaches in computational protein design

Computational protein design (CPD) is a useful tool for protein engineers. It has been successfully applied towards the creation of proteins with increased thermostability, improved binding affinity, novel enzymatic activity, and altered ligand specificity. Traditionally, CPD calculations search and rank sequences using a single fixed protein backbone template in an approach referred to as single-state design (SSD). While SSD has enjoyed considerable success, certain design objectives require the explicit consideration of multiple conformational and/or chemical states. Cases where a "multistate" approach may be advantageous over the SSD approach include designing conformational changes into proteins, using native ensembles to mimic backbone flexibility, and designing ligand or oligomeric association specificities. These design objectives can be efficiently tackled using multistate design (MSD), an emerging methodology in CPD that considers any number of protein conformational or chemical states as inputs instead of a single protein backbone template, as in SSD. In this review article, recent examples of the successful design of a desired property into proteins using MSD are described. These studies employing MSD are divided into two categories-those that utilized multiple conformational states, and those that utilized multiple chemical states. In addition, the scoring of competing states during negative design is discussed as a current challenge for MSD.     

Thermodynamic interpretation of protein dynamics from NMR relaxation measurements

Protein dynamics and thermodynamics can be characterized through measurements of relaxation rates of side chain (2)H and (13)C, and backbone (15)N nuclei using NMR spectroscopy. The rates reflect protein motions on timescales from picoseconds to milliseconds. Backbone and methyl side chain NMR relaxation measurements for several proteins are beginning to reveal the role of protein dynamics in protein stability and ligand binding.     

Comparison of the monomer structure of the FMN-binding protein from Desulfovibrio vulgaris obtained by NMR and molecular dynamics simulation approaches

Flavin mononucleotide (FMN)-binding proteins (FBPs) play an important role in the electron transport process in bacteria. In this study, the structures of the FBP from Desulfovibrio vulgaris (DvFBP) (Miyazaki F) were compared between those obtained experimentally by nuclear magnetic resonance (NMR) spectroscopy and those derived from molecular dynamics simulations (MDSs). A high-residue root of mean square deviation (RMSD) was observed in residues located at both sides of the wings (Gly22, Glu23, Asp24, Ala59, Arg60, Asp61, Glu62, Gly75, Arg76, Asn77, Gly78 and Pro79), while a low-residue RMSD was found in residues located in a hollow of the structure (Asn12, Glu13, Gly14, Val15, Val16, Asn30, Thr31, Trp32, Asn33, Ser34, Gly69, Ser70, Arg71 and Lys72). Inter-planar angles between the Phe7 and Iso and between the Phe7 and Trp106 residues were remarkably different between the MDS- and NMR-derived DvFBP structures. Distribution of the torsion angles around the covalent bonds in the aliphatic chain of FMN was similar in the MDS- and NMR-derived structures, except for those around the C1′–C2′ and C5′–O5′ bonds. Hydrogen bond formation between IsoO2 and the Gly49 or Gly50 peptide NH was formed in both the NMR- and MDS-derived structures. Overall, the MDS-derived structures were found to be considerably different from the NMR-derived structures, which must be considered when the photoinduced electron transfer in flavoproteins is analysed with MDS-derived structures.     

Insights into equilibrium dynamics of proteins from comparison of NMR and X-ray data with computational predictions

For a representative set of 64 nonhomologous proteins, each containing a structure solved by NMR and X-ray crystallography, we analyzed the variations in atomic coordinates between NMR models, the temperature (B) factors measured by X-ray crystallography, and the fluctuation dynamics predicted by the Gaussian network model (GNM). The NMR and X-ray data exhibited a correlation of 0.49. The GNM results, on the other hand, yielded a correlation of 0.59 with X-ray data and a distinctively better correlation (0.75) with NMR data. The higher correlation between GNM and NMR data, compared to that between GNM and X-ray B factors, is shown to arise from the differences in the spectrum of modes accessible in solution and in the crystal environment. Mainly, large-amplitude motions sampled in solution are restricted, if not inaccessible, in the crystalline environment of X-rays. Combined GNM and NMR analysis emerges as a useful tool for assessing protein dynamics.     

Emerging computational approaches for the study of protein allostery

Allosteric regulation of protein function is key in controlling cellular processes so its underlying mechanisms are of primary concern to research in areas spanning protein engineering and drug design. However, due to the complex nature of allosteric mechanisms, a clear and predictive understanding of the relationship between protein structure and allosteric function remains elusive. Well established experimental approaches are available to offer a limited degree of characterization of mechanical properties within proteins, but the analytical capabilities of computational methods are evolving rapidly in their ability to accurately define the subtle and concerted structural dynamics that comprise allostery. This review includes a brief overview of allostery in proteins and an exploration of relevant experimental methods. An explanation of the transition from experimental toward computational methods for allostery is discussed, followed by a review of existing and emerging methods.     

Protein dynamics from NMR

This review surveys recent investigations of conformational fluctuations of proteins in solution using NMR techniques. Advances in experimental methods have provided more accurate means of characterizing fast and slow internal motions as well as overall diffusion. The information obtained from NMR dynamics experiments provides insights into specific structural changes or configurational energetics associated with function. A variety of applications illustrate that studies of protein dynamics provide insights into protein-protein interactions, target recognition, ligand binding, and enzyme function.     

Deciphering protein dynamics from NMR data using explicit structure sampling and selection

Perhaps one of the most prominent realizations of recent years is the critical role that protein dynamics plays in many facets of cellular function. While characterization of protein dynamics is fundamental to our understanding of protein function, the ability to explicitly detect an ensemble of protein conformations from dynamics data is a paramount challenge in structural biology. Here, we report a new computational method, Sample and Select, for determining the ensemble of protein conformations consistent with NMR dynamics data. This method can be generalized and extended to different sources of dynamics data, enabling broad applicability in deciphering protein dynamics at different timescales. The structural ensemble derived from Sample and Select will provide structural and dynamic information that should aid us in understanding and manipulating protein function.     

NMR assignment of actin depolymerizing and dynamics regulatory protein from Leishmania donovani

Leishmania donovani cofilin displays low sequence similarity to other mammalian cofilins and also possesses characteristic activity of its own. Determination of its solution structure would facilitate understanding of the molecular mechanism of actin dynamics regulation in this disease causing pathogen.     

Protein dynamics from solution NMR

Solution nuclear magnetic resonance (NMR) spectroscopy is unique in its ability to elucidate the details of atomic-level structural and dynamical properties of biological macromolecules under native-like conditions. Recent advances in NMR techniques and protein sample preparation now allow comprehensive investigation of protein dynamics over timescales ranging 14 orders of magnitude at nearly every atomic site. Thus, solution NMR is poised to reveal aspects of the physico-chemical properties that govern the ensemble distribution of protein conformers and the dynamics of their interconversion. We review these advances as well as their recent application to the study of proteins.     

Solid-state NMR approaches to measure topological equilibria and dynamics of membrane polypeptides

Biological membranes are characterized by a high degree of dynamics. In order to understand the function of membrane proteins and even more of membrane-associated peptides, these motional aspects have to be taken into consideration. Solid-state NMR spectroscopy is a method of choice when characterizing topological equilibria, molecular motions, lateral and rotational diffusion as well as dynamic oligomerization equilibria within fluid phase lipid bilayers. Here we show and review examples where the ¹⁵N chemical shift anisotropy, dipolar interactions and the deuterium quadrupolar splittings have been used to analyze motions of peptides such as peptaibols, antimicrobial sequences, Vpu, phospholamban or other channel domains. In particular, simulations of ¹⁵N and ²H-solid-state NMR spectra are shown of helical domains in uniaxially oriented membranes when rotation around the membrane normal or the helix long axis occurs.     

Microscopy approaches to investigate protein dynamics and lipid organization

The structure of cell membranes has been intensively investigated and many models and concepts have been proposed for the lateral organization of the plasma membrane. While proteomics and lipidomics have identified many if not all membrane components, how lipids and proteins interactions are coordinated in a specific cell function remains poorly understood. It is generally accepted that the organization of the plasma membrane is likely to play a critical role in the regulation of cell function such as receptor signalling by governing molecular interactions and dynamics. In this review we present different plasma membrane models and discuss microscopy approaches used for investigating protein behaviour, distribution and lipid organization.     

Converging experimental and computational views of the knotting mechanism of a small knotted protein

MJ0366 from Methanocaldococcus jannaschii is the smallest topologically knotted protein known to date. 92 residues in length, MJ0366 ties a trefoil (3₁) knot by threading its C-terminal helix through a buttonhole formed by the remainder of the secondary structure elements. By generating a library of point mutations at positions pertinent to the knot formation, we systematically evaluated the contributions of individual residues to the folding stability and kinetics of MJ0366. The experimental Φ-values were used as restraints to computationally generate an ensemble of conformations that correspond to the transition state of MJ0366, which revealed several nonnative contacts. The importance of these nonnative contacts in stabilizing the transition state of MJ0366 was confirmed by a second round of mutagenesis, which also established the pivotal role of F15 in stapling the network of hydrophobic interactions around the threading C-terminal helix. Our converging experimental and computational results show that, despite the small size, the transition state of MJ0366 is formed at a very late stage of the folding reaction coordinate, following a polarized pathway. Eventually, the formation of extensive native contacts, as well as a number of nonnative ones, leads to the threading of the C-terminal helix that defines the topological knot.     

Structure and dynamics of a membrane protein in micelles from three solution NMR experiments

Three solution NMR experiments on a uniformly ¹⁵N labeled membrane protein in micelles provide sufficient information to describe the structure, topology, and dynamics of its helices, as well as additional information that characterizes the principal features of residues in terminal and inter-helical loop regions. The backbone amide resonances are assigned with an HMQC-NOESY experiment and the backbone dynamics are characterized by a ¹H-¹⁵N heteronuclear NOE experiment, which clearly distinguishes between the structured helical residues and the more mobile residues in the terminal and interhelical loop regions of the protein. The structure and topology of the helices are described by Dipolar waves and PISA wheels derived from experimental measurements of residual dipolar couplings (RDCs) and residual chemical shift anisotropies (RCSAs). The results show that the membrane-bound form of Pf1 coat protein has a 20-residue trans-membrane hydrophobic helix with an orientation that differs by about 90° from that of an 8-residue amphipathic helix. This combination of three-experiments that yields Dipolar waves and PISA wheels has the potential to contribute to high-throughput structural characterizations of membrane proteins.