Rapid identification of protein-protein interfaces for the construction of a complex model based on multiple unassigned signals by using time-sharing NMR measurements

Protein-protein interactions are necessary for various cellular processes, and therefore, information related to protein-protein interactions and structural information of complexes is invaluable. To identify protein-protein interfaces using NMR, resonance assignments are generally necessary to analyze the data; however, they are time consuming to collect, especially for large proteins. In this paper, we present a rapid, effective, and unbiased approach for the identification of a protein-protein interface without resonance assignments. This approach requires only a single set of 2D titration experiments of a single protein sample, labeled with a unique combination of an (15)N-labeled amino acid and several amino acids (13)C-labeled on specific atoms. To rapidly obtain high resolution data, we applied a new pulse sequence for time-shared NMR measurements that allowed simultaneous detection of a ω(1)-TROSY-type backbone (1)H-(15)N and aromatic (1)H-(13)C shift correlations together with single quantum methyl (1)H-(13)C shift correlations. We developed a structure-based computational approach, that uses our experimental data to search the protein surfaces in an unbiased manner to identify the residues involved in the protein-protein interface. Finally, we demonstrated that the obtained information of the molecular interface could be directly leveraged to support protein-protein docking studies. Such rapid construction of a complex model provides valuable information and enables more efficient biochemical characterization of a protein-protein complex, for instance, as the first step in structure-guided drug development.     

Structural adaptation of extreme halophilic proteins through decrease of conserved hydrophobic contact surface

Background

Disrupting protein-protein interactions by small organic molecules is nowadays a promising strategy employed to block protein targets involved in different pathologies. However, structural changes occurring at the binding interfaces make difficult drug discovery processes using structure-based drug design/virtual screening approaches. Here we focused on two homologous calcium binding proteins, calmodulin and human centrin 2, involved in different cellular functions via protein-protein interactions, and known to undergo important conformational changes upon ligand binding.

Results

In order to find suitable protein conformations of calmodulin and centrin for further structure-based drug design/virtual screening, we performed in silico structural/energetic analysis and molecular docking of terphenyl (a mimicking alpha-helical molecule known to inhibit protein-protein interactions of calmodulin) into X-ray and NMR ensembles of calmodulin and centrin. We employed several scoring methods in order to find the best protein conformations. Our results show that docking on NMR structures of calmodulin and centrin can be very helpful to take into account conformational changes occurring at protein-protein interfaces.

Conclusions

NMR structures of protein-protein complexes nowadays available could efficiently be exploited for further structure-based drug design/virtual screening processes employed to design small molecule inhibitors of protein-protein interactions.     

Rapid analysis of large protein-protein complexes using NMR-derived orientational constraints: the 95 kDa complex of LpxA with acyl carrier protein

Characterization of protein-protein interactions that are critical to the specific function of many biological systems has become a primary goal of structural biology research. Analysis of these interactions by structural techniques is, however, challenging due to inherent limitations of the techniques and because many of the interactions are transient, and suitable complexes are difficult to isolate. In particular, structural studies of large protein complexes by traditional solution NMR methods are difficult due to a priori requirement of extensive assignments and a large number of intermolecular restraints for the complex. An approach overcoming some of these challenges by utilizing orientational restraints from residual dipolar couplings collected on solution NMR samples is presented. The approach exploits existing structures of individual components, including the symmetry properties of some of these structures, to assemble rapidly models for relatively large protein-protein complexes. An application is illustrated with a 95 kDa homotrimeric complex of the acyltransferase protein, LpxA (UDP-N-acetylglucosamine acyltransferase), and acyl carrier protein. LpxA catalyzes the first step in the biosynthesis of the lipid A component of lipopolysaccharide in Gram-negative bacteria. The structural model generated for this complex can be useful in the design of new anti-bacterial agents that inhibit the biosynthesis of lipid A.     

Complexes of the single-stranded DNA-binding protein from Escherichia coli (Eco SSB) with poly(dT). An investigation of their structure and internal dynamics by means of electron microscopy and NMR

Based on electron microscopy and NMR spectroscopy it is deduced that Eco SSB binds with moderate cooperativity to polynucleotides. Evidence is provided that the protein binds in its tetrameric form to the nucleic acid forming a nucleosome-like structure. NMR-spectroscopic analysis of the complexes shows that the carboxy-terminal region of the Eco SSB maintains a high flexibility even when the protein is immobilized in large protein-protein clusters.     

TROSY and CRINEPT: NMR with large molecular and supramolecular structures in solution

TROSY and CRINEPT are new techniques for solution NMR studies of molecular and supramolecular structures. They allow the collection of high-resolution spectra of structures with molecular weights >100 kDa, significantly extending the range of macromolecular systems that can be studied by NMR in solution. TROSY has already been used to map protein-protein interfaces, to conduct structural studies on membrane proteins and to study nucleic acid conformations in multimolecular assemblies. These techniques will help us to investigate the conformational states of individual macromolecular components and will support de novo protein structure determination in large supramolecular structures.     

Evidence of Conformational Selection Driving the Formation of Ligand Binding Sites in Protein-Protein Interfaces

Many protein-protein interactions (PPIs) are compelling targets for drug discovery, and in a number of cases can be disrupted by small molecules. The main goal of this study is to examine the mechanism of binding site formation in the interface region of proteins that are PPI targets by comparing ligand-free and ligand-bound structures. To avoid any potential bias, we focus on ensembles of ligand-free protein conformations obtained by nuclear magnetic resonance (NMR) techniques and deposited in the Protein Data Bank, rather than on ensembles specifically generated for this study. The measures used for structure comparison are based on detecting binding hot spots, i.e., protein regions that are major contributors to the binding free energy. The main tool of the analysis is computational solvent mapping, which explores the surface of proteins by docking a large number of small “probe” molecules. Although we consider conformational ensembles obtained by NMR techniques, the analysis is independent of the method used for generating the structures. Finding the energetically most important regions, mapping can identify binding site residues using ligand-free models based on NMR data. In addition, the method selects conformations that are similar to some peptide-bound or ligand-bound structure in terms of the properties of the binding site. This agrees with the conformational selection model of molecular recognition, which assumes such pre-existing conformations. The analysis also shows the maximum level of similarity between unbound and bound states that is achieved without any influence from a ligand. Further shift toward the bound structure assumes protein-peptide or protein-ligand interactions, either selecting higher energy conformations that are not part of the NMR ensemble, or leading to induced fit. Thus, forming the sites in protein-protein interfaces that bind peptides and can be targeted by small ligands always includes conformational selection, although other recognition mechanisms may also be involved.     

Mapping structural interactions using in-cell NMR spectroscopy (STINT-NMR)

We describe a high-throughput in-cell nuclear magnetic resonance (NMR)-based method for mapping the structural changes that accompany protein-protein interactions (STINT-NMR). The method entails sequentially expressing two (or more) proteins within a single bacterial cell in a time-controlled manner and monitoring the protein interactions using in-cell NMR spectroscopy. The resulting spectra provide a complete titration of the interaction and define structural details of the interacting surfaces at atomic resolution.     

Hydrogen-deuterium exchange strategy for delineation of contact sites in protein complexes

We use NMR spectra to determine protein-protein contact sites by observing differences in amide proton hydrogen-deuterium exchange in the complex compared to the free protein in solution. Aprotic organic solvents are used to preserve H/D labeling patterns that would be scrambled in water solutions. The binding site between the mammalian co-chaperone Aha1 with the middle domain of the chaperone Hsp90 obtained by our H/D exchange method corresponds well with that in the X-ray crystal structure of the homologous complex from yeast, even to the observation of a secondary binding site. This method can potentially provide data for complexes with unknown structure and for large or dynamic complexes inaccessible via NMR and X-ray methods.     

High-throughput inference of protein-protein interfaces from unassigned NMR data

SUMMARY: We cast the problem of identifying protein-protein interfaces, using only unassigned NMR spectra, into a geometric clustering problem. Identifying protein-protein interfaces is critical to understanding inter- and intra-cellular communication, and NMR allows the study of protein interaction in solution. However it is often the case that NMR studies of a protein complex are very time-consuming, mainly due to the bottleneck in assigning the chemical shifts, even if the apo structures of the constituent proteins are known. We study whether it is possible, in a high-throughput manner, to identify the interface region of a protein complex using only unassigned chemical shifts and residual dipolar coupling (RDC) data. We introduce a geometric optimization problem where we must cluster the cells in an arrangement on the boundary of a 3-manifold, where the arrangement is induced by a spherical quadratic form [corrected] The arrangement is induced by a spherical quadratic form, which in turn is parameterized by a SO(3)xR2. We show that this formalism derives directly from the physics of RDCs. We present an optimal algorithm for this problem that runs in O(n3 log n) time for an n-residue protein. We then use this clustering algorithm as a subroutine in a practical algorithm for identifying the interface region of a protein complex from unassigned NMR data. We present the results of our algorithm on NMR data for seven proteins from five protein complexes, and show that our approach is useful for high-throughput applications in which we seek to rapidly identify the interface region of a protein complex. AVAILABILITY: Contact authors for source code.     

The ankyrin repeat as molecular architecture for protein recognition

The ankyrin repeat is one of the most frequently observed amino acid motifs in protein databases. This protein-protein interaction module is involved in a diverse set of cellular functions, and consequently, defects in ankyrin repeat proteins have been found in a number of human diseases. Recent biophysical, crystallographic, and NMR studies have been used to measure the stability and define the various topological features of this motif in an effort to understand the structural basis of ankyrin repeat-mediated protein-protein interactions. Characterization of the folding and assembly pathways suggests that ankyrin repeat domains generally undergo a two-state folding transition despite their modular structure. Also, the large number of available sequences has allowed the ankyrin repeat to be used as a template for consensus-based protein design. Such projects have been successful in revealing positions responsible for structure and function in the ankyrin repeat as well as creating a potential universal scaffold for molecular recognition.     

Conformational Heterogeneity in Antibody-Protein Antigen Recognition: IMPLICATIONS FOR HIGH AFFINITY PROTEIN COMPLEX FORMATION

Specific, high affinity protein-protein interactions lie at the heart of many essential biological processes, including the recognition of an apparently limitless range of foreign proteins by natural antibodies, which has been exploited to develop therapeutic antibodies. To mediate biological processes, high affinity protein complexes need to form on appropriate, relatively rapid timescales, which presents a challenge for the productive engagement of complexes with large and complex contact surfaces (∼600–1800 Ų). We have obtained comprehensive backbone NMR assignments for two distinct, high affinity antibody fragments (single chain variable and antigen-binding (Fab) fragments), which recognize the structurally diverse cytokines interleukin-1β (IL-1β, β-sheet) and interleukin-6 (IL-6, α-helical). NMR studies have revealed that the hearts of the antigen binding sites in both free anti-IL-1β Fab and anti-IL-6 single chain variable exist in multiple conformations, which interconvert on a timescale comparable with the rates of antibody-antigen complex formation. In addition, we have identified a conserved antigen binding-induced change in the orientation of the two variable domains. The observed conformational heterogeneity and slow dynamics at protein antigen binding sites appears to be a conserved feature of many high affinity protein-protein interfaces structurally characterized by NMR, suggesting an essential role in protein complex formation. We propose that this behavior may reflect a soft capture, protein-protein docking mechanism, facilitating formation of high affinity protein complexes on a timescale consistent with biological processes.     

Weak protein-protein interactions as probed by NMR spectroscopy

Weak protein-protein interactions (PPIs) are fundamental to many cellular processes, such as reversible cell-cell contact, rapid enzyme turnover and transient assembly and/or reassembly of large signaling complexes. However, structural and functional characterizations of weak PPIs have been technically challenging and lagged behind those for strong PPIs. Here, we describe nuclear magnetic resonance (NMR) spectroscopy as a highly effective tool for unraveling the atomic details of weak PPIs. We highlight the recent advances of how NMR can be used to rapidly detect and structurally determine extremely weak PPIs (K(d)>10(-4)M). Coupled with functional approaches, NMR has the potential to look into a wide variety of biologically important weak PPIs at the detailed molecular level, thereby facilitating a thorough view of how proteins function in living cells.     

大规模酵母双杂交技术研究蛋白质相互作用的应用

简介了酵母双杂交技术原理, 总结了酵母双杂交技术大规模筛选蛋白质相互作用的基础、应用及存在的问题。因为大规模酵母双杂交技术结果有大量假阳性及假阴性问题, 因此, 有条件情况下有必要同时开展其他方法的大规模蛋白相互作用研究, 以构建规模更大可信度更高的蛋白质相互作用网络图。     

Characterizing monoclonal antibody formulations in arginine glutamate solutions using 1H NMR spectroscopy

Assessing how excipients affect the self-association of monoclonal antibodies (mAbs) requires informative and direct in situ measurements for highly concentrated solutions, without sample dilution or perturbation. This study explores the application of solution nuclear magnetic resonance (NMR) spectroscopy for characterization of typical mAb behavior in formulations containing arginine glutamate. The data show that the analysis of signal intensities in 1D ¹H NMR spectra, when compensated for changes in buffer viscosity, is invaluable for identifying conditions where protein-protein interactions are minimized. NMR-derived molecular translational diffusion rates for concentrated solutions are less useful than transverse relaxation rates as parameters defining optimal formulation. Furthermore, NMR reports on the solution viscosity and mAb aggregation during accelerated stability study assessment, generating data consistent with that acquired by size-exclusion chromatography. The methodology developed here offers NMR spectroscopy as a new tool providing complementary information useful to formulation development of mAbs and other large therapeutic proteins.     

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.     

Increased precision for analysis of protein–ligand dissociation constants determined from chemical shift titrations

NMR is ideally suited for the analysis of protein-protein and protein ligand interactions with dissociation constants ranging from ~2 μM to ~1 mM, and with kinetics in the fast exchange regime on the NMR timescale. For the determination of dissociation constants (K ( D )) of 1:1 protein-protein or protein-ligand interactions using NMR, the protein and ligand concentrations must necessarily be similar in magnitude to the K ( D ), and nonlinear least squares analysis of chemical shift changes as a function of ligand concentration is employed to determine estimates for the parameters K ( D ) and the maximum chemical shift change (Δδ(max)). During a typical NMR titration, the initial protein concentration, [P (0)], is held nearly constant. For this condition, to determine the most accurate parameters for K ( D ) and Δδ(max) from nonlinear least squares analyses requires initial protein concentrations that are ~0.5 × K ( D ), and a maximum concentration for the ligand, or titrant, of ~10 × [P (0)]. From a practical standpoint, these requirements are often difficult to achieve. Using Monte Carlo simulations, we demonstrate that co-variation of the ligand and protein concentrations during a titration leads to an increase in the precision of the fitted K ( D ) and Δδ(max) values when [P (0)] > K ( D ). Importantly, judicious choice of protein and ligand concentrations for a given NMR titration, combined with nonlinear least squares analyses using two independent variables (ligand and protein concentrations) and two parameters (K ( D ) and Δδ(max)) is a straightforward approach to increasing the accuracy of measured dissociation constants for 1:1 protein-ligand interactions.     

Detection of protein–ligand interactions by NMR using reductive methylation of lysine residues

We show that reductive methylation of proteins can be used for highly sensitive NMR identification of conformational changes induced by metal- and small molecule binding, as well as protein-protein interactions. Reductive methylation of proteins introduces two (13)C-methyl groups on each lysine in the protein of interest. This method works well even when the lysines are not actively involved in the interaction, due to changes in the microenvironments of lysine residues. Most lysine residues are located on the protein exterior, and the exposed (13)C-methyl groups may exhibit rapid localized motions. These motions could be faster than the tumbling rate of the molecule as a whole. Thus, this technique has great potential in the study of large molecular weight systems which are currently beyond the scope of conventional NMR methods.     

An orientation-dependent hydrogen bonding potential improves prediction of specificity and structure for proteins and protein-protein complexes

Hydrogen bonding is a key contributor to the specificity of intramolecular and intermolecular interactions in biological systems. Here, we develop an orientation-dependent hydrogen bonding potential based on the geometric characteristics of hydrogen bonds in high-resolution protein crystal structures, and evaluate it using four tests related to the prediction and design of protein structures and protein-protein complexes. The new potential is superior to the widely used Coulomb model of hydrogen bonding in prediction of the sequences of proteins and protein-protein interfaces from their structures, and improves discrimination of correctly docked protein-protein complexes from large sets of alternative structures.     

Unraveling a bacterial hexose transport pathway

Structural information about proteins involved in bacterial hexose transport mediated by the phosphoenolpyruvate:sugar phosphotransferase system is rapidly accumulating. Within the past year, two crystal structures and two solution NMR structures of the histidine-containing phosphocarrier protein have been reported, adding structural details to previous NMR and crystallographic work on this protein and on enzyme IIA. The crystal structure of the regulatory complex between the glucose enzyme IIA and glycerol kinase has been determined, and the association of the histidine-containing phosphocarrier protein and either the glucose enzyme IIA or the mannitol enzyme IIA have been studied by NMR. Proposals concerning the mechanism of phosphoryl transfer and the protein-protein interactions involved may now be tested more rigorously using these data.