RNA recognition by the human U1A protein is mediated by a network of local cooperative interactions that create the optimal binding surface

Obtaining Crystals of Nucleic Acids in Complex with the Protein U1A Using the Soaking Method

X-ray crystallography is one of the most prominent techniques for determining high-resolution structures of nucleic acids. The major challenges are to obtain well-diffracting single crystals and to solve the phase problem. The absence of structural information impedes the elucidation of the molecular details of biological processes. A particularly intriguing example is the RNA-cleavage catalyzed by the 10-23 deoxyribozyme (DNAzyme). This DNAzyme consists of a catalytic core that is flanked by two substrate binding arms, which can be designed to bind any RNA of interest. Structure elucidation of the 10-23 DNAzyme in a biologically relevant conformation faces three major challenges: (1) stabilization of the RNA substrate to capture the DNA:RNA complex in the pre-catalytic conformation, (2) prevention of the formation of an artificial duplex conformation due to a self-complementary sequence in the catalytic core of the DNAzyme, and (3) the crystallization of nucleic acids with their uniform surfaces. Here, we provide a protocol for an innovative strategy facilitating the crystallization of protein:nucleic acid complexes using a soaking approach and discuss on how to apply this protocol for the structure elucidation of the 10-23 DNAzyme. For this purpose, we describe the purification procedure of an optimized variant of the RNA-binding protein U1A, the crystallization of this specific U1A variant, the soaking process with its specific RNA hairpin loop, and finally suggest a strategy for applying this procedure on the 10-23 DNAzyme in complex with its specific RNA target.

A study on allosteric communication in U1A-snRNA binding interactions: network analysis combined with molecular dynamics data

The allosteric regulation during the binding interactions between small nuclear RNAs (snRNAs) and the associated protein factors is critical to the function of spliceosomes in alternative RNA splicing. Although network models combined with molecular dynamics simulations have shown to be powerful tools for the analysis of protein allostery, the atomic-level simulations are, however, too expensive and with limited accuracy for the large-size systems. In this work, we use a residual network model combined with a coarse-grained Gaussian network model (GNM) to investigate the binding interactions between the snRNA and the human U1A protein which is a major component of the spliceosomal U1 small nuclear ribonucleoprotein particle, and to identify the residues that play an important role in the allosteric communication in U1A during this process. We also utilize the Girvan-Newman method to detect the structural organization in U1A-snRNA recognition and interactions. Our results reveal that: (Ι) not only the residues at the binding sites that are traditionally considered to play a major role in U1A-snRNA association, but those residues that are far away from the RNA binding interface participate in the U1A's allosteric signal transmission induced by the RNA binding; (Π) the structure of U1A protein is well organized with different communities acting different roles for its RNA binding and allosteric regulation. The study demonstrates that the combination of the residual network and elastic network models is an effective and efficient method which can be readily extended to the investigation of the allosteric communication for other macromolecular interaction systems.

Interpreting the Dynamics of Binding Interactions of snRNA and U1A Using a Coarse-Grained Model

The binding interactions of small nuclear RNAs (snRNA) and the associated protein factors are critical to the function of spliceosomes in alternatively splicing primary RNA transcripts. Although molecular dynamics simulations are a powerful tool to interpret the mechanism of biological processes, the atomic-level simulations are, however, too expensive and with limited accuracy for the large-size systems, such as snRNA-protein complexes. We extend the coarse-grained Gaussian network model, which models the RNA-protein complexes as a harmonic chain of Cα, P, and O4' atoms, to investigating the impact of the snRNA-binding interaction on the dynamic stability of the human U1A protein, which is a major component of the spliceosomal U1 small nuclear ribonucleoprotein particle. The results reveal that the first and third loops and the C-terminal helix regions of the U1A domain undergo a significant loss of flexibility upon the RNA binding due to the forming of mostly electrostatic and hydrogen bond interactions with RNA 5' stem and loop. By examining the residues whose mutations significantly change the binding free energy between U1A and snRNA, the Gaussian network model-based calculations show that not only the residues at the binding sites that are traditionally considered to play a major role in U1A-RNA association but also those residues that are far away from the RNA-binding interface can participate in the long-range allosteric signal transmission; these calculations are quantitatively consistent with the data observed in the recent snRNA binding experiments. The study demonstrates a useful avenue to utilize the simplified elastic network model to investigate the dynamics characteristics of the biologically important macromolecular interactions.

Comparative analyses of the thermodynamic RNA binding signatures of different types of RNA recognition motifs

RNA recognition motifs (RRMs) are structurally versatile domains important in regulation of alternative splicing. Structural mechanisms of sequence-specific recognition of single-stranded RNAs (ssRNAs) by RRMs are well understood. The thermodynamic strategies are however unclear. Therefore, we utilized microcalorimetry and semi-empirical analyses to comparatively analyze the cognate ssRNA binding thermodynamics of four different RRM domains, each with a different RNA binding mode. The different binding modes are: canonical binding to the β-sheet surface; canonical binding with involvement of N- and C-termini; binding to conserved loops; and binding to an α-helix. Our results identify enthalpy as the sole and general force driving association at physiological temperatures. Also, networks of weak interactions are a general feature regulating stability of the different RRM–ssRNA complexes. In agreement, non-polyelectrolyte effects contributed between ∼75 and 90% of the overall free energy of binding in the considered complexes. The various RNA binding modes also displayed enormous heat capacity differences, that upon dissection revealed large differential changes in hydration, conformations and dynamics upon binding RNA. Altogether, different modes employed by RRMs to bind cognate ssRNAs utilize various thermodynamics strategies during the association process.

Co-evolution of SNF spliceosomal proteins with their RNA targets in trans-splicing nematodes

Although the mechanism of pre-mRNA splicing has been well characterized, the evolution of spliceosomal proteins is poorly understood. The U1A/U2B″/SNF family (hereafter referred to as the SNF family) of RNA binding spliceosomal proteins participates in both the U1 and U2 small interacting nuclear ribonucleoproteins (snRNPs). The highly constrained nature of this system has inhibited an analysis of co-evolutionary trends between the proteins and their RNA binding targets. Here we report accelerated sequence evolution in the SNF protein family in Phylum Nematoda, which has allowed an analysis of protein:RNA co-evolution. In a comparison of SNF genes from ecdysozoan species, we found a correlation between trans-splicing species (nematodes) and increased phylogenetic branch lengths of the SNF protein family, with respect to their sister clade Arthropoda. In particular, we found that nematodes (~70-80 % of pre-mRNAs are trans-spliced) have experienced higher rates of SNF sequence evolution than arthropods (predominantly cis-spliced) at both the nucleotide and amino acid levels. Interestingly, this increased evolutionary rate correlates with the reliance on trans-splicing by nematodes, which would alter the role of the SNF family of spliceosomal proteins. We mapped amino acid substitutions to functionally important regions of the SNF protein, specifically to sites that are predicted to disrupt protein:RNA and protein:protein interactions. Finally, we investigated SNF's RNA targets: the U1 and U2 snRNAs. Both are more divergent in nematodes than arthropods, suggesting the RNAs have co-evolved with SNF in order to maintain the necessarily high affinity interaction that has been characterized in other species.

A compare-and-contrast NMR dynamics study of two related RRMs: U1A and SNF

The U1A/U2B″/SNF family of small nuclear ribonucleoproteins uses a phylogenetically conserved RNA recognition motif (RRM1) to bind RNA stemloops in U1 and/or U2 small nuclear RNA (snRNA). RRMs are characterized by their α/β sandwich topology, and these RRMs use their β-sheet as the RNA binding surface. Unique to this RRM family is the tyrosine-glutamine-phenylalanine (YQF) triad of solvent-exposed residues that are displayed on the β-sheet surface; the aromatic residues form a platform for RNA nucleobases to stack. U1A, U2B″, and SNF have very different patterns of RNA binding affinity and specificity, however, so here we ask how YQF in Drosophila SNF RRM1 contributes to RNA binding, as well as to domain stability and dynamics. Thermodynamic double-mutant cycles using tyrosine and phenylalanine substitutions probe the communication between those two residues in the free and bound states of the RRM. NMR experiments follow corresponding changes in the glutamine side-chain amide in both U1A and SNF, providing a physical picture of the RRM1 β-sheet surface. NMR relaxation and dispersion experiments compare fast (picosecond to nanosecond) and intermediate (microsecond-to-millisecond) dynamics of U1A and SNF RRM1. We conclude that there is a network of amino acid interactions involving Tyr-Gln-Phe in both SNF and U1A RRM1, but whereas mutations of the Tyr-Gln-Phe triad result in small local responses in U1A, they produce extensive microsecond-to-millisecond global motions throughout SNF that alter the conformational states of the RRM.

Synthetic RNA recognition motifs that selectively recognize HIV-1 trans-activation response element hairpin RNA

A multitude of RNA hairpins are directly implicated in human disease. Many of these RNAs are potentially valuable targets for drug discovery and basic research. However, very little is known about the molecular requirements for achieving sequence-selective recognition of a particular RNA sequence and structure. Although a relatively modest number of synthetic small to medium-sized RNA-binding molecules have been reported, rapid identification of sequence-selective RNA-binding molecules remains a daunting challenge. RNA recognition motif (RRM) domains may represent unique privileged scaffolds for the generation of synthetic proteins that selectively recognize structured disease-relevant RNAs, including RNA hairpins. As a demonstration of this potential, we mutated putative RNA-binding regions within the U1A RRM and a variant thereof and screened these synthetic proteins for affinity to HIV-1 trans-activation response (TAR) element hairpin RNA. Some of these U1A-derived proteins bind TAR with single-digit micromolar dissociation constants, and they do so preferentially over the native protein's original target RNA (U1hpII) and a DNA TAR variant. Binding affinity is not appreciably diminished by addition of 10 molar equivalents of cellular tRNAs from Escherichia coli. Taken together, our findings represent the first synthetic RRMs that selectively bind a disease-relevant RNA hairpin and may represent a general approach for achieving sequence-selective recognition of RNA hairpins, which are the focus of therapeutic discovery and basic research.

Analysis of protein-RNA complexes involving a RNA recognition motif engineered to bind hairpins with seven- and eight-nucleotide loops

U1A binds U1hpII, a hairpin RNA with a 10-nucleotide loop. A U1A mutant (ΔK50ΔM51) binds U1hpII-derived hairpins with shorter loops, making it an interesting scaffold for engineering or evolving proteins that bind similarly sized disease-related hairpin RNAs. However, a more detailed understanding of complexes involving ΔK50ΔM51 is likely a prerequisite to generating such proteins. Toward this end, we measured mutational effects for complexes involving U1A ΔK50ΔM51 and U1hpII-derived hairpin RNAs with seven- or eight-nucleotide loops and identified contacts that are critical to the stabilization of these complexes. Our data provide valuable insight into sequence-selective recognition of seven- or eight-nucleotide loop hairpins by an engineered RNA binding protein.

Resurrection of an Urbilaterian U1A/U2B″/SNF protein

The U1A/U2B″/SNF family of proteins found in the U1 and U2 spliceosomal small nuclear ribonucleoproteins is highly conserved. In spite of the high degree of sequence and structural conservation, modern members of this protein family have unique RNA binding properties. These differences have necessarily resulted from evolutionary processes, and therefore, we reconstructed the protein phylogeny in order to understand how and when divergence occurred and how protein function has been modulated. Contrary to the conventional understanding of an ancient human U1A/U2B″ gene duplication, we show that the last common ancestor of bilaterians contained a single ancestral protein (URB). The gene for URB was synthesized, the protein was overexpressed and purified, and we assessed RNA binding to modern snRNA sequences. We find that URB binds human and Drosophila U1 snRNA SLII and U2 snRNA SLIV with higher affinity than do modern homologs, suggesting that both Drosophila SNF and human U1A/U2B″ have evolved into weaker binders of one RNA or both RNAs.

The role of the C-terminal helix of U1A protein in the interaction with U1hpII RNA

Previous kinetic investigations of the N-terminal RNA Recognition Motif (RRM) domain of spliceosomal A protein of the U1 small nuclear ribonucleoprotein particle (U1A) interacting with its RNA target U1 hairpin II (U1hpII) provided experimental evidence for a ‘lure and lock’ model of binding. The final step of locking has been proposed to involve conformational changes in an α-helix immediately C-terminal to the RRM domain (helix C), which occludes the RNA binding surface in the unbound protein. Helix C must shift its position to accommodate RNA binding in the RNA–protein complex. This results in a new hydrophobic core, an intraprotein hydrogen bond and a quadruple stacking interaction between U1A and U1hpII. Here, we used a surface plasmon resonance-based biosensor to gain mechanistic insight into the role of helix C in mediating the interaction with U1hpII. Truncation, removal or disruption of the helix exposes the RNA-binding surface, resulting in an increase in the association rate, while simultaneously reducing the ability of the complex to lock, reflected in a loss of complex stability. Disruption of the quadruple stacking interaction has minor kinetic effects when compared with removal of the intraprotein hydrogen bonds. These data provide new insights into the mechanism whereby sequences C-terminal to an RRM can influence RNA binding.

Binding techniques to study the allosteric energy cycle

Thermodynamic principles of cooperativity and allostery have long been used as a starting point to begin understanding the interplay between ligand binding events. Understanding the nature of allosteric effects requires an experimental technique that can be used to quantify ligand binding energies and simultaneously give experimental insights into the conformational dynamics at play upon ligand binding. CD spectroscopy provides macroscopic information about the relative secondary and tertiary structures present in a protein. Here, we use this spectroscopic technique with thermal shift assays wherein ligand binding constants can be quantified based on their stabilizing effect against thermally induced protein denaturation. Binding constants for two ligands are used to determine a pairwise coupling free energy which defines the shared energy that favors or opposes binding of the second ligand binding event in an allosteric system. In CD-based thermal shift assays, temperature is the driving force for protein unfolding and can also influence protein conformational dynamics present in the unbound protein or ligand-bound proteins. Dihydrofolate reductase (DHFR) and glutamate dehydrogenase (GDH) are proposed as example test systems. NADP and methotrexate bind DHFR with positive cooperativity. Mammalian GDH exhibits negative cooperativity with respect to binding of NAD and NADPH coenzyme molecules, activation by ADP, and inhibition by GTP.

Multistep kinetics of the U1A-SL2 RNA complex dissociation

The U1A-SL2 RNA complex is a model system for studying interactions between RNA and the RNA recognition motif (RRM), which is one of the most common RNA binding domains. We report here kinetic studies of dissociation of the U1A-SL2 RNA complex, using laser temperature jump and stopped-flow fluorescence methods with U1A proteins labeled with the intrinsic chromophore tryptophan. An analysis of the kinetic data suggests three phases of dissociation with time scales of ∼100 μs, ∼50 ms, and ∼2 s. We propose that the first step of dissociation is a fast rearrangement of the complex to form a loosely bound complex. The intermediate step is assigned to be the dissociation of the U1A-SL2 RNA complex, and the final step is assigned to a reorganization of the U1A protein structure into the conformation of the free protein. These assignments are consistent with previous proposals based on thermodynamic, NMR, and surface plasmon resonance experiments and molecular dynamics simulations. Together, these results begin to build a comprehensive model of the complex dynamic processes involved in the formation and dissociation of an RRM-RNA complex.

U1A protein-stem loop 2 RNA recognition: prediction of structural differences from protein mutations

Molecular dynamics (MD) simulations were carried out to compare the free and bound structures of wild type U1A protein with several Phe56 mutant U1A proteins that bind the target stem loop 2 (SL2) RNA with a range of affinities. The simulations indicate the free U1A protein is more flexible than the U1A-RNA complex for both wild type and Phe56 mutant systems. A complete analysis of the hydrogen-bonding (HB) and non-bonded (VDW) interactions over the course of the MD simulations suggested that changes in the interactions in the free U1A protein caused by the Phe56Ala and Phe56Leu mutations may stabilize the helical character in loop 3, and contribute to the weak binding of these proteins to SL2 RNA. Compared with wild type, changes in HB and VDW interactions in Phe56 mutants of the free U1A protein are global, and include differences in β-sheet, loop 1 and loop 3 interactions. In the U1A-RNA complex, the Phe56Ala mutation leads to a series of differences in interactions that resonate through the complex, while the Phe56Leu and Phe56Trp mutations cause local differences around the site of mutation. The long-range networks of interactions identified in the simulations suggest that direct interactions and dynamic processes in both the free and bound forms contribute to complex stability.

Interactions between PTB RRMs induce slow motions and increase RNA binding affinity

Polypyrimidine tract binding protein (PTB) participates in a variety of functions in eukaryotic cells, including alternative splicing, mRNA stabilization, and internal ribosomal entry site-mediated translation initiation. Its mechanism of RNA recognition is determined in part by the novel geometry of its two C-terminal RNA recognition motifs (RRM3 and RRM4), which interact with each other to form a stable complex (PTB1:34). This complex itself is unusual among RRMs, suggesting that it performs a specific function for the protein. In order to understand the advantage it provides to PTB, the fundamental properties of PTB1:34 are examined here as a comparative study of the complex and its two constituent RRMs. Both RRM3 and RRM4 adopt folded structures that NMR data show to be similar to their structure in PRB1:34. The RNA binding properties of the domains differ dramatically. The affinity of each separate RRM for polypyrimidine tracts is far weaker than that of PTB1:34, and simply mixing the two RRMs does not create an equivalent binding platform. (15)N NMR relaxation experiments show that PTB1:34 has slow, microsecond motions throughout both RRMs including the interdomain linker. This is in contrast to the individual domains, RRM3 and RRM4, where only a few backbone amides are flexible on this time scale. The slow backbone dynamics of PTB1:34, induced by packing of RRM3 and RRM4, could be essential for high-affinity binding to a flexible polypyrimidine tract RNA and also provide entropic compensation for its own formation.

Bruno protein contains an expanded RNA recognition motif

The RNA recognition motif (or RRM) is a ubiquitous RNA-binding module present in approximately 2% of the proteins encoded in the human genome. This work characterizes an expanded RRM, which is present in the Drosophila Bruno protein, and targets regulatory elements in the oskar mRNA through which Bruno controls translation. In this Bruno RRM, the deletion of 40 amino acids prior to the N-terminus of the canonical RRM resulted in a significantly decreased affinity of the protein for its RNA target. NMR spectroscopy showed that the expanded Bruno RRM contains the familiar RRM fold of four antiparallel beta-strands and two alpha-helices, preceded by a 10-residue loop that contacts helix alpha(1) and strand beta(2); additional amino acids at the N-terminus of the domain are relatively flexible in solution. NMR results also showed that a truncated form of the Bruno RRM, lacking the flexible N-terminal amino acids, forms a stable and complete canonical RRM, so that the loss of RNA binding activity cannot be attributed to disruption of the RRM fold. This expanded Bruno RRM provides a new example of the features that are important for RNA recognition by an RRM-containing protein.

Functional stabilization of an RNA recognition motif by a noncanonical N-terminal expansion

RNA recognition motifs (RRMs) constitute versatile macromolecular interaction platforms. They are found in many components of spliceosomes, in which they mediate RNA and protein interactions by diverse molecular strategies. The human U11/U12-65K protein of the minor spliceosome employs a C-terminal RRM to bind hairpin III of the U12 small nuclear RNA (snRNA). This interaction comprises one side of a molecular bridge between the U11 and U12 small nuclear ribonucleoprotein particles (snRNPs) and is reminiscent of the binding of the N-terminal RRMs in the major spliceosomal U1A and U2B'' proteins to hairpins in their cognate snRNAs. Here we show by mutagenesis and electrophoretic mobility shift assays that the beta-sheet surface and a neighboring loop of 65K C-terminal RRM are involved in RNA binding, as previously seen in canonical RRMs like the N-terminal RRMs of the U1A and U2B'' proteins. However, unlike U1A and U2B'', some 30 residues N-terminal of the 65K C-terminal RRM core are additionally required for stable U12 snRNA binding. The crystal structure of the expanded 65K C-terminal RRM revealed that the N-terminal tail adopts an alpha-helical conformation and wraps around the protein toward the face opposite the RNA-binding platform. Point mutations in this part of the protein had only minor effects on RNA affinity. Removal of the N-terminal extension significantly decreased the thermal stability of the 65K C-terminal RRM. These results demonstrate that the 65K C-terminal RRM is augmented by an N-terminal element that confers stability to the domain, and thereby facilitates stable RNA binding.

Cell-free selection of RNA-binding proteins using in vitro compartmentalization

RNA-binding proteins (RBPs) perform many essential functions in the post-transcriptional control of gene expression. If we were able to engineer RBPs with new specificity, it would also become possible to develop new tools to control and investigate gene expression pathways. Molecular evolution methods such as phage display have been introduced to achieve this goal, but the large interface between these proteins and RNA relative to the size of library that can be constructed limits the efficacy of this method. In order to increase the diversity of libraries used for selection of RBPs, we applied the emulsion-based in vitro compartmentalization (IVC) method to select RBPs with defined specificity. A new approach was developed to link genotype and phenotype by fusing the target RBP to zinc finger proteins (ZFPs) that bind to a cognate DNA sequence inserted upstream of the promoter. The expressed fusion protein (ZFP–RBP) binds to its encoding DNA with high affinity via the ZFP target-binding site. After breaking the emulsion, the RBP can be selected based on its affinity for a biotinylated RNA bait. We demonstrate the effectiveness of this method that should enable the selection of RBPs with new specificity or improved affinity.

Cooperativity in macromolecular assembly

The thermodynamic principle of cooperativity is used to drive the formation of specific macromolecular complexes during the assembly of a macromolecular machine. Understanding cooperativity provides insight into the mechanisms that govern assembly and disassembly of multicomponent complexes. Our understanding of assembly mechanisms is lagging considerably behind our understanding of the structure and function of these complexes. A significant challenge remains in tackling the thermodynamics and kinetics of the intermolecular interactions required for all cellular functions.

Conformationally restricted nucleotides as a probe of structure-function relationships in RNA

We introduce the use of commercially available locked nucleic acids (LNAs) as a functional probe in RNA. LNA nucleotides contain a covalent linkage that restricts the pseudorotation phase of the ribose to C3'-endo (A-form). Introduction of an LNA at a single site thus allows the role of ribose structure and dynamics in RNA function to be assessed. We apply LNA probing at multiple sites to analyze self-cleavage in the lead-dependent ribozyme (leadzyme), thermodynamic stability in the UUCG tetraloop, and the kinetics of recognition of U1A protein by U1 snRNA hairpin II. In the leadzyme, locking a single guanosine residue into the C3'-endo pucker increases the catalytic rate by a factor of 20, despite the fact that X-ray crystallographic and NMR structures of the leadzyme ground state reported a C2'-endo conformation at this site. These results strongly suggest that a conformational change at this position is critical for catalytic function. Functional insights obtained in all three systems demonstrate the highly general applicability of LNA probing in analysis of the role of ribose orientation in RNA structure, dynamics, and function.

Recognition of essential purines by the U1A protein

Background

The RNA recognition motif (RRM) is one of the largest families of RNA binding domains. The RRM is modulated so that individual proteins containing RRMs can specifically recognize RNA targets with diverse sequences and structures. Understanding the principles governing this specificity will be important for the rational modification and design of RRM-RNA complexes.

Results

In this paper we have investigated the origins of specificity of the N terminal RRM of the U1A protein for stem loop 2 (SL2) of U1 snRNA by substituting modified bases for essential purines in SL2 RNA. In one series of modified bases, hydrogen bond donors and acceptors were replaced by aliphatic groups to probe the importance of these functional groups to binding. In a second series of modified bases, hydrogen bond donors and acceptors were incorrectly placed on the purine bases to analyze the origins of discrimination between cognate and non-cognate RNA. The results of these experiments show that three different approaches are used by the U1A protein to gain specificity for purines. Specificity for the first base in the loop, A1, is based primarily on discrimination against RNA containing the incorrect base, specificity for the fourth base in the loop, G4, is based largely on recognition of the donors and acceptors of G4, while specificity for the sixth base in the loop, A6, results from a combination of direct recognition of the base and discrimination against incorrectly placed functional groups.

Conclusion

These investigations identify different roles that hydrogen bond donors and acceptors on bases in both cognate and non-cognate RNA play in the specific recognition of RNA by the U1A protein. Taken together with investigations of other RNA-RRM complexes, the results contribute to a general understanding of the origins of RNA-RRM specificity and highlight, in particular, the contribution of steric and electrostatic repulsion to binding specificity.

A study of communication pathways in methionyl- tRNA synthetase by molecular dynamics simulations and structure network analysis

The enzymes of the family of tRNA synthetases perform their functions with high precision by synchronously recognizing the anticodon region and the aminoacylation region, which are separated by approximately 70 A in space. This precision in function is brought about by establishing good communication paths between the two regions. We have modeled the structure of the complex consisting of Escherichia coli methionyl-tRNA synthetase (MetRS), tRNA, and the activated methionine. Molecular dynamics simulations have been performed on the modeled structure to obtain the equilibrated structure of the complex and the cross-correlations between the residues in MetRS have been evaluated. Furthermore, the network analysis on these simulated structures has been carried out to elucidate the paths of communication between the activation site and the anticodon recognition site. This study has provided the detailed paths of communication, which are consistent with experimental results. Similar studies also have been carried out on the complexes (MetRS + activated methonine) and (MetRS + tRNA) along with ligand-free native enzyme. A comparison of the paths derived from the four simulations clearly has shown that the communication path is strongly correlated and unique to the enzyme complex, which is bound to both the tRNA and the activated methionine. The details of the method of our investigation and the biological implications of the results are presented in this article. The method developed here also could be used to investigate any protein system where the function takes place through long-distance communication.

Do collective atomic fluctuations account for cooperative effects? Molecular dynamics studies of the U1A-RNA complex

A complete understanding of gene expression relies on a comprehensive understanding of the protein-RNA recognition process. However, the study of protein-RNA recognition is complicated by many factors that contribute to both binding affinity and specificity, including structure, energetics, dynamical motions, and cooperative interactions. Several recent studies have suggested that energetic coupling between residues contributes to formation of the complex between the U1A protein and stem loop 2 of U1 snRNA as a consequence of a cooperative network of interactions. We have performed molecular dynamics simulations on the U1A-RNA complex, including explicit water and counterions, and analyzed the results based on the calculated positional cross-correlations of atomic fluctuations. The results indicate that cross-correlations calculated on a per residue basis agree well with the observed inter-residue cooperativity and predict that the networks identified to date may also be coupled into an extensive hyper-network that reflects the intrinsic rigidity of the RNA recognition motif. In addition, we report a comparison of the MD calculated correlations with the results of a positional covariance analysis based on the sequences of 330 RNA recognition motifs, including U1A. The calculated inter-residue cross-correlations agree very well with the results of the sites exhibiting positional covariance. Collectively, these results strongly support the hypothesis that collective fluctuations contribute to cooperativity and the corresponding observed thermodynamic coupling. Predictions of additional sites in U1A that may be involved in cooperative networks are advanced.

Binding of U1A protein changes RNA dynamics as observed by 13C NMR relaxation studies

Recognition of RNA by proteins and small molecules often involves large changes in RNA structure and dynamics, yet very few studies have so far characterized these motional changes. Here we extend to the protein-bound RNA recent 13C relaxation studies of motions in the RNA recognized by human U1A protein, a well-known model for protein-RNA recognition. Changes in relaxation observed upon complex formation demonstrate that the protein-binding site becomes rigid in the complex, but the upper stem-loop that defines the secondary structure of this RNA experiences unexpected motional freedom. By using a helix elongation strategy, we observe that the upper stem-loop moves independently of the remainder of the structure also in the absence of U1A. Surprisingly, RNA residues making important intermolecular contacts in the structure of the complex exhibit increased flexibility in the presence of the protein. Both of these results support the hypothesis that RNA-binding proteins select a structure that optimizes intermolecular contacts in the manifold of conformations sampled by the free RNA and that protein binding quenches these motions. Together with previous studies of the RNA-bound protein, they also demonstrate that protein-RNA interfaces experience complex motions that modulate the strength of individual interactions.

Structure networks of E. coli glutaminyl-tRNA synthetase: Effects of ligand binding

It is well known that proteins undergo backbone as well as side chain conformational changes upon ligand binding, which is not necessarily confined to the active site. Both the local and the global conformational changes brought out by ligand-binding have been extensively studied earlier. However, the global changes have been reported mainly at the protein backbone level. Here we present a method that explicitly takes into account the side chain interactions, yet providing a global view of the ligand-induced conformational changes. This is achieved through the analysis of Protein Structure Networks (PSN), constructed from the noncovalent side chain interactions in the protein. Here, E. coli Glutaminyl-tRNA synthetase (GlnRS) in the ligand-free and different ligand-bound states is used as a case study to assess the effect of binding of tRNA, ATP, and the amino acid Gln to GlnRS. The PSNs are constructed on the basis of the strength of noncovalent interactions existing between the side chains of amino acids. The parameters like the size of the largest cluster, edge to node ratio, and the total number of hubs are used to quantitatively assess the structure network changes. These network parameters have effectively captured the ligand-induced structural changes at a global structure network level. Hubs, the highly connected amino acids, are also identified from these networks. Specifically, we are able to characterize different types of hubs based on the comparison of structure networks of the GlnRS system. The differences in the structure networks in both the presence and the absence of the ligands are reflected in these hubs. For instance, the characterization of hubs that are present in both the ligand-free and all the ligand-bound GlnRS (the invariant hubs) might implicate their role in structural integrity. On the other hand, identification of hubs unique to a particular ligand-bound structure (the exclusive hubs) not only highlights the structural differences mediated by ligand-binding at the structure network level, but also highlights significance of these amino acids hubs in binding to the ligand and catalyzing the biochemical function. Further, the hubs identified from this study could be ideal targets for mutational studies to ascertain the ligand-induced structure-function relationships in E. coli GlnRS. The formalism used in this study is simple and can be applied to other protein-ligands in general to understand the allosteric changes mediated by the binding of ligands.

A study of collective atomic fluctuations and cooperativity in the U1A-RNA complex based on molecular dynamics simulations

Cooperative interactions play an important role in recognition and binding in macromolecular systems. In this study, we find that cross-correlated atomic fluctuations can be used to identify cooperative networks in a protein-RNA system. The dynamics of the RRM-containing protein U1A-stem loop 2 RNA complex have been calculated theoretically from a 10 ns molecular dynamics (MD) simulation. The simulation was analyzed by calculating the covariance matrix of all atomic fluctuations. These matrix elements are then presented in the form of a two-dimensional grid, which displays fluctuations on a per residue basis. The results indicate the presence of strong, selective cross-correlated fluctuations throughout the RRM in U1A-RNA. The atomic fluctuations correspond well with previous biophysical studies in which a multiplicity of cooperative networks have been reported and indicate that the various networks identified in separate individual experiments are fluctuationally correlated into a hyper-network encompassing most of the RRM. The calculated results also correspond well with independent results from a statistical covariance analysis of 330 aligned RRM sequences. This method has significant implications as a predictive tool regarding cooperativity in the protein-nucleic acid recognition process.

The role of RNA structure in the interaction of U1A protein with U1 hairpin II RNA

The N-terminal RNA Recognition Motif (RRM1) of the spliceosomal protein U1A interacting with its target U1 hairpin II (U1hpII) has been used as a paradigm for RRM-containing proteins interacting with their RNA targets. U1A binds to U1hpII via direct interactions with a 7-nucleotide (nt) consensus binding sequence at the 5' end of a 10-nt loop, and via hydrogen bonds with the closing C-G base pair at the top of the RNA stem. Using surface plasmon resonance (Biacore), we have examined the role of structural features of U1hpII in binding to U1A RRM1. Mutational analysis of the closing base pair suggests it plays a minor role in binding and mainly prevents "breathing" of the loop. Lengthening the stem and nontarget part of the loop suggests that the increased negative charge of the RNA might slightly aid association. However, this is offset by an increase in dissociation, which may be caused by attraction of the RRM to nontarget parts of the RNA. Studies of a single stranded target and RNAs with untethered loops indicate that structure is not very relevant for association but is important for complex stability. In particular, breaking the link between the stem and the 5' side of the loop greatly increases complex dissociation, presumably by hindering simultaneous contacts between the RRM and stem and loop nucleotides. While binding of U1A to a single stranded target is much weaker than to U1hpII, it occurs with nanomolar affinity, supporting recent evidence that binding of unstructured RNA by U1A has physiological significance.

Correlated motions in the U1 snRNA stem/loop 2:U1A RBD1 complex

The complex formed by U1A RBD1 and the U1 snRNA stem/loop II is noted for its high affinity and exquisite specificity. Here, that complex is investigated by 5 ns molecular dynamics simulations and analyzed by reorientational eigenmode dynamics to determine the dynamic properties of the RNA:protein interface that could contribute to the binding mechanism. The analysis shows that there is extensive correlation between motions of the RNA and protein, involving 7 of the 10 RNA loop nucleotides, the protein beta-sheet surface, two of its loops, and its C-terminal tripeptide sequence. Order parameters of these regions of the complex are uniformly high, indicating restricted motion. However, several regions of both RNA and protein retain local flexibility, notably three nucleotides of the RNA loop and one loop of RBD1 that does not contact RNA. The highly correlated motions involving both molecules reflect the intricate network of interactions that characterize this complex and could account in part for the thermodynamic coupling observed for complex formation.

Kinetic analysis of the role of the tyrosine 13, phenylalanine 56 and glutamine 54 network in the U1A/U1 hairpin II interaction

The A protein of the U1 small nuclear ribonucleoprotein particle, interacting with its stem-loop RNA target (U1hpII), is frequently used as a paradigm for RNA binding by recognition motif domains (RRMs). U1A/U1hpII complex formation has been proposed to consist of at least two steps: electrostatically mediated alignment of both molecules followed by locking into place, based on the establishment of close-range interactions. The sequence of events between alignment and locking remains obscure. Here we examine the roles of three critical residues, Tyr13, Phe56 and Gln54, in complex formation and stability using Biacore. Our mutational and kinetic data suggest that Tyr13 plays a more important role than Phe56 in complex formation. Mutational analysis of Gln54, combined with molecular dynamics studies, points to Arg52 as another key residue in association. Based on our data and previous structural and modeling studies, we propose that electrostatic alignment of the molecules is followed by hydrogen bond formation between the RNA and Arg52, and the sequential establishment of interactions with loop bases (including Tyr13). A quadruple stack, sandwiching two bases between Phe56 and Asp92, would occur last and coincide with the rearrangement of a C-terminal helix that partially occludes the RRM surface in the free protein.

Human, Drosophila, and C.elegans TDP43: Nucleic Acid Binding Properties and Splicing Regulatory Function

TAR DNA binding protein (TDP43), a highly conserved heterogeneous nuclear ribonucleoprotein, was found to down-regulate splicing of the exon 9 cystic fibrosis transmembrane conductance regulator (CFTR) through specific binding to a UG-rich polymorphic region upstream of the 3' splice site. Despite the emergence of new information regarding the protein's nuclear localization and splicing regulatory activity, TDP43's role in cells remains elusive. To investigate the function of human TDP43 and its homologues, we cloned and characterized the proteins from Drosophila melanogaster and Caenorhabditis elegans. The proteins from human, fly, and worm show striking similarities in their nucleic acid binding specificity. We found that residues at two different positions, which show a strong conservation among TDP43 family members, are linked to the tight recognition of the target sequence. Our three-dimensional model of TDP43 in complex with a (UG)(m) sequence predicts that these residues make amino acid side-chain to base contacts. Moreover, our results suggest that Drosophila TDP43 is comparable to human TDP43 in regulating exon splicing. On the other hand, C.elegans TDP43 has no effect on exon recognition. TDP43 from C.elegans lacks the glycine-rich domain found at the carboxy terminus of the other two homologues. Mutants of human and fly TDP43 devoid of the C-terminal domain are likewise unable to affect splicing. Our studies suggest that the glycine-rich domain is essential for splicing regulation by human and fly TDP43.

A binding mechanism in protein-nucleotide interactions: implication for U1A RNA binding

We present a close electronic view of the protein-base interface for the N-terminal domain of the human protein U1A. Combining accurate mixed quantum mechanics/molecular mechanics techniques and protein structure prediction methods, we provide a detailed electronic structure description of the protein-RNA stacking interactions. Our analysis indicates the evolution of the protein structure optimizing the interaction between Asp-92 and the RNA bases. The results show a direct coupling of the C-terminal tail and Asp-92, providing a direct rationalization of the experimentally determined role of the C-terminal domain in RNA binding. Here, we propose a mechanism where a protein side chain, with a delocalized electronic pi system, assists in the nucleotide binding. The binding mechanism involves a short-range interaction of the side chain with the nucleotide base and an electronic long-range interaction through a sandwich-stacking motif. The structural motif of the binding mechanism is observed in similar protein-RNA interactions and in various protein-ATP-binding sites.

Histone trimethylation by Set1 is coordinated by the RRM, autoinhibitory, and catalytic domains

Trimethylation of lysine 4 of histone H3 occurs at the 5' end of active genes and is catalyzed by Set1 in Saccharomyces cerevisiae. Trimethylation requires histone H2B ubiquitylation and the PAF1 complex, which are linked to transcription elongation, but how they activate Set1 is not known. Set1 also bears several conserved domains with uncharacterized contributions to activity. Here, we isolated dominant hyperactive SET1(D) alleles, which revealed a complex interplay among Set1 regulatory domains. Remarkably, the RNA-recognition motif (RRM) of Set1 is required for H3K4 trimethylation, but not dimethylation. Also, a central autoinhibitory domain was identified that opposes RRM function by inhibiting trimethylation. Furthermore, a G990E replacement in the catalytic domain conferred Set1 hyperactivity and restored trimethylation to a Set1 derivative bearing mutations in the RRM domain. Surprisingly, certain SET1(D) alleles also partially restored trimethylation to strains lacking histone H2B ubiquitylation or Paf1. Taken together, our data suggest that the catalytic domain of Set1 integrates opposing inputs from the RRM and autoinhibitory domains to link properly H3K4 methylation to the transcript elongation process.

Transient Aggregation and Stable Dimerization Induced by Introducing an Alzheimer Sequence into a Water-Soluble Protein

Transient contacts between denatured polypeptide chains are likely to play an important part in the initial stages of protein aggregation and fibrillation. To analyze the nature of such contacts, we have carried out a protein engineering study of the 102-residue protein U1A, which aggregates transiently in the wild-type form during refolding from the guanidinium chloride-denatured state. We have prepared a series of mutants with increased aggregation tendencies by increasing the homology between two beta-strands of U1A and the Alzheimer peptide (beta-AP). These mutants undergo transient aggregation during refolding, as measured by concentration dependence, double-jump experiments, and binding of ANS, a probe for exposed hydrophobic patches on protein surfaces. The propensity to aggregate increases with increasing homology to beta-AP. Further, the degree of transient ANS binding correlates reasonably well with the structural parameters recently shown to play a role in the fibrillation of natively unfolded proteins. Two mutants highly prone to transient aggregation, U1A-J and U1A-G, were also studied by NMR. Secondary structural elements of the U1A-J construct (with lower beta-AP homology) are very similar to those observed in U1A-wt. In contrast, the high-homology construct U1A-G exhibits local unfolding of the C-terminal helix, which packs against the beta-sheet in the wild-type protein. U1A-G is mainly dimeric according to (15)N spin relaxation data, and the dimer interface most likely involves the beta-sheet. Our data suggest that the transient aggregate relies on specific intermolecular interactions mediated by structurally flexible regions and that contacts may be formed in different beta-strand registers.

Altering the RNA-binding mode of the U1A RBD1 protein

The N-terminal RNA-binding domain (RBD1) of the human U1A protein is evolutionarily designed to bind its RNA targets with great affinity and specificity. The physical mechanisms that modulate the coupling (local cooperativity) among amino acid residues on the extensive binding surface of RBD1 are investigated here, using mutants that replace a highly conserved glycine residue. This glycine residue, at the strand/loop junction of beta3/loop3, is found in U1A RBD1, and in most RBD domains, suggesting it has a specific role in modulation of RNA binding. Here, two RBD1 proteins are constructed in which that residue (Gly53) is replaced by either alanine or valine. These new proteins are shown by NMR methods and molecular dynamics simulations to be very similar to the wild-type RBD1, both in structure and in their backbone dynamics. However, RNA-binding assays show that affinity for the U1 snRNA stem-loop II RNA target is reduced by nearly 200-fold for the RBD1-G53A protein, and by 1.6 x 10(4)-fold for RBD1-G53V. The mode of RNA binding by RBD1-G53A is similar to that of RBD1-WT, displaying its characteristic non-additive free energies of base recognition and its salt-dependence. The binding mode of RBD1-G53V is altered, having lost its salt-dependence and displaying site-independence of base recognition. The molecular basis for this alteration in RNA-binding properties is proposed to result from the inability of the RNA to induce a change in the structure of the free protein to produce a high-affinity complex.

Role of a heterogeneous free state in the formation of a specific RNA-theophylline complex

The helical regions of RNA are generally very stable, but the single-stranded and loop regions often exist as an ensemble of conformations in solution. The theophylline-binding RNA aptamer forms a very stable structure when bound to the bronchodilator theophylline, but the theophylline binding site is not stably formed in the absence of ligand. The kinetics for theophylline binding were measured here by stopped-flow fluorescence spectroscopy to probe the mechanism for theophylline binding in this RNA aptamer. The kinetic studies showed that formation of the RNA-theophylline complex is over 1000 times slower than a diffusion-controlled rate, and the high affinity of the RNA-theophylline complex arises primarily from a slow dissociation rate for the complex. A theophylline-independent rate was observed for formation of the theophylline-RNA complex at high theophylline concentration, indicating that a conformational change in the RNA is the rate-limiting step in complex formation under these conditions. The RNA-theophylline complex requires divalent metal ions, such as Mg2+, to form a high-affinity complex, and there is a greater than 10000-fold reduction in affinity for theophylline in the absence of Mg2+. This decrease in binding affinity in the absence of Mg2+ results primarily from an increased dissociation rate for the complex. The implications of an ensemble of conformations in the free state of this theophylline-binding RNA are discussed and compared with mechanisms for formation of protein-ligand complexes.

Molecular dynamics simulation studies of induced fit and conformational capture in U1A-RNA binding: do molecular substates code for specificity?

Molecular dynamics (MD) simulations on stem loop 2 of U1 small nuclear RNA and a construct of the U1A protein were carried out to obtain predictions of the structures for the unbound forms in solution and to elucidate dynamical aspects of induced fit upon binding. A crystal structure of the complex between the U1A protein and stem loop 2 RNA and an NMR structure for the uncomplexed form of the U1A protein are available from Oubridge et al. (Nature, 1994, Vol. 372, pp. 432-438) and Avis et al. (Journal of Molecular Biology, 1996, Vol. 257, pp. 398-411), respectively. As a consequence, U1A-RNA binding is a particularly attractive case for investigations of induced fit in protein-nucleic acid complexation. When combined with the available structural data, the results from simulations indicate that structural adaptation of U1A protein and RNA define distinct mechanisms for induced fit. For the protein, the calculations indicate that induced fit upon binding involves a non-native thermodynamic substate in which the structure is preorganized for binding. In contrast, induced fit of the RNA involves a distortion of the native structure in solution to an unstable form. However, the RNA solution structures predicted from simulation show evidence that structures in which groups of bases are favorably oriented for binding the U1A protein are thermally accessible. These results, which quantify with computational modeling recent proposals on induced fit and conformational capture by Leuillot and Varani (Biochemistry, 2001, Vol. 40, pp. 7947-7956) and by Williamson (Nature Structural Biology, 2000, Vol. 7, pp. 834-837) suggest an important role for intrinsic molecular architecture and substates other than the native form in the specificity of protein-RNA interactions.

Substitution of an essential adenine in the U1A-RNA complex with a non-polar isostere

The RNA recognition motif (RRM) binds to single-stranded RNA target sites of diverse sequences and structures. A conserved mode of base recognition by the RRM involves the simultaneous formation of a network of hydrogen bonds with the base functional groups and a stacking interaction between the base and a highly conserved aromatic amino acid. We have investigated the energetic contribution of the functional groups involved in the recognition of an essential adenine, A6, in stem-loop 2 of U1 snRNA by the N-terminal RRM of the U1A protein. Previously, we found that elimination of individual hydrogen bond donors and acceptors on A6 destabilized the complex by 0.8-1.9 kcal/mol, while mutation of the aromatic amino acid (Phe56) that stacks with A6 to Ala destabilized the complex by 5.5 kcal/mol. Here we continue to probe the contribution of A6 to complex stability through mutation of both the RNA and protein. We have removed two hydrogen-bonding functional groups by introducing a U1A mutation, Ser91Ala, and replacing A6 with tubercidin, purine, or 1-deazaadenine. We find that the complex is destabilized an additional 1.2-2.6 kcal/mol by the elimination of the second hydrogen bond donor or acceptor. Surprisingly, deletion of all of the functional groups involved in hydrogen bonds with the U1A protein by substituting adenine with 4-methylindole reduced the binding free energy by only 2.0 kcal/mol. Experiments with U1A proteins containing mutations of Phe56 suggested that improved stacking interactions due to the greater hydrophobicity of 4-methylindole than adenine may be partly responsible for the small destabilization of the complex upon substitution of 4-methylindole for A6. The data imply that hydrophobic interactions can compensate energetically for the disruption of the complex hydrogen-bonding network between nucleotide and protein.

Intramolecular interactions at protein surfaces and their impact on protein function

Protein surfaces play a key role in the biological function of proteins. Consequently, structural features of protein surfaces are the basis for predicting function from structure. A well-established principle of binding by proteins is that ligands must compete with water and other small molecules to form interactions with protein surfaces. A less obvious issue, and the emphasis of this article, is that ligands must also compete with interactions among residues at protein surfaces. Results from structural surveys, a variety of experimental studies and computations suggest that intramolecular interactions are present at protein surfaces and that the energetics of these interactions can change when proteins bind to other molecules.

A functional role for correlated motion in the N-terminal RNA-binding domain of human U1A protein

The N-terminal RNA-binding domain of the human U1A protein (RBD1) undergoes local conformational changes upon binding to its target RNA. Here, the wild-type RBD1 and two mutants are examined with molecular dynamics simulations that are analyzed using the reorientational eigenmode dynamics (RED) formalism. The results reveal changes in the magnitude and extent of coupled intra-domain motions resulting from single amino acid substitutions. Interpretation of the novel RED results and corresponding NMR relaxation data suggests that the loss of collective motions in the mutants could account for their weak RNA-binding.

Complex role of the beta 2-beta 3 loop in the interaction of U1A with U1 hairpin II RNA

RNA recognition motifs (RRMs) are characterized by highly conserved regions located centrally on a beta-sheet, which forms the RNA binding surface. Variable flanking regions, such as the loop connecting beta-strands 2 and 3, are thought to be important in determining the RNA-binding specificities of individual RRMs. The N-terminal RRM of the spliceosomal U1A protein mediates binding to an RNA hairpin (U1hpII) in the U1 small nuclear RNA. In this complex, the beta(2)-beta(3) loop protrudes through the 10-nucleotide RNA loop. Shortening of the RNA loop strongly perturbs binding, suggesting that an optimal "fit" of the beta(2)-beta(3) loop into the RNA loop is an important factor in complexation. To understand this interaction further, we mutated or deleted loop residues Lys(50) and Met(51), which protrude centrally into the RNA loop but do not make any direct contacts to the bases. Using BIACORE, we analyzed the ability of these U1A mutants to bind to wild type RNAs, or RNAs with shortened loops. Alanine replacement mutations only modestly affected binding to wild type U1hpII. Interestingly, simultaneous replacement of Lys(50) and Met(51) with alanine appeared to alleviate the loss of binding caused by shortening of the RNA loop. Deletion of Lys(50) or Met(51) caused a dramatic loss in stability of the U1A.U1hpII complex. However, deletion of both residues simultaneously was much less deleterious. Simulated annealing molecular dynamics analyses suggest this is due to the ability of this mutant to rearrange flanking amino acids to substitute for the two deleted residues. The double deletion mutant also exhibited substantially reduced negative effects of RNA loop shortening, suggesting the rearranged loop is better able to accommodate a short RNA loop. Our results indicate that one of the roles of the beta(2)-beta(3) loop is to provide a steric fit into the RNA loop, thereby stabilizing the RNA.protein complex.

Multiple diverse ligands binding at a single protein site: a matter of pre-existing populations

Here, we comment on the steadily increasing body of data showing that proteins with specificity actually bind ligands of diverse shapes, sizes, and composition. Such a phenomenon is not surprising when one considers that binding is a dynamic process with populations in equilibrium and that the shape of the binding site is strongly influenced by the molecular partner. It derives implicitly from the concept of populations. All proteins, specific and nonspecific, exist in ensembles of substates. If the library of ligands in solution is large enough, favorably matching ligands with altered shapes and sizes can be expected to bind, with a redistribution of the protein populations. Point mutations at spatially distant sites may exert large conformational rearrangements and hinge effects, consistent with mutations away from the binding site leading to population shifts and (cross-)drug resistance. A similar effect is observed in protein superfamilies, in which different sequences with similar topologies display similar large-scale dynamic motions. The hinges are frequently at analogous sites, yet with different substrate specificity. Similar topologies yield similar conformational isomers, although with different distributions of population times, owing to the change in the conditions, that is, the change in the sequences. In turn, different distributions relate to binding of different sizes and shapes. Hence, the binding site shape and size are defined by the ligand. They are not independent entities of fixed proportions and cannot be analyzed independently of the binding partner. Such a proposition derives from viewing proteins as dynamic distributions, presenting to the incoming ligands a range of binding site shapes. It illustrates how presumably specific binding molecules can bind multiple ligands. In terms of drug design, the ability of a single receptor to recognize many dissimilar ligands shows the need to consider more diverse molecules. It provides a rationale for higher affinity inhibitors that are not derived from substrates at their transition states and indicates flexible docking schemes.

Investigation of a conserved stacking interaction in target site recognition by the U1A protein

Three highly conserved aromatic residues in RNA recognition motifs (RRM) participate in stacking interactions with RNA bases upon binding RNA. We have investigated the contribution of one of these aromatic residues, Phe56, to the complex formed between the N-terminal RRM of the spliceosomal protein U1A and stem-loop 2 of U1 snRNA. Previous work showed that the aromatic group is important for high affinity binding. Here we probe how mutation of Phe56 affects the kinetics of complex dissociation, the strength of the hydrogen bonds formed between U1A and the base that stacks with Phe56 (A6) and specific target site recognition. Substitution of Phe56 with Trp or Tyr increased the rate of dissociation of the complex, consistent with previously reported results. However, substitution of Phe56 with His decreased the rate of complex association, implying a change in the initial formation of the complex. Simultaneous modification of residue 56 and A6 revealed energetic coupling between the aromatic group and the functional groups of A6 that hydrogen bond to U1A. Finally, mutation of Phe56 to Leu reduced the ability of U1A to recognize stem-loop 2 correctly. Taken together, these experiments suggest that Phe56 contributes to binding affinity by stacking with A6 and participating in networks of energetically coupled interactions that enable this conserved aromatic amino acid to play a complex role in target site recognition.

Mapping protein-protein interactions in solution by NMR spectroscopy

NMR is very well suited to the study of especially weak protein-protein interactions, as no crystallization is required. The available NMR methods to this end are reviewed and illustrated with applications from the recent biochemical literature: intermolecular NOEs, cross-saturation, chemical shift perturbation, dynamics and exchange perturbation, paramagnetic methods, and dipolar orientation. Most of these methods are now routinely applied for complexes with total molecular mass of 60 kDa and can likely be applied to systems up to 1000 kDa. A substantial fraction of complexes studied show distinct effects of induced fit affecting structural and dynamical properties beyond the contact interface.

Calculations of free-energy contributions to protein-RNA complex stabilization

The problem of calculating binding affinities of protein-RNA complexes is addressed by analyzing a computational strategy of modeling electrostatic free energies based on a nonlinear Poisson-Boltzmann (NLPB) model and linear response approximation (LRA). The underlying idea is to treat binding as a two-step process. Solutions to the NLPB equation calculate free energies arising from electronic polarizability and the LRA is constructed from molecular dynamics simulations to model reorganization free energies due to conformational transitions. By implementing a consistency condition of requiring the NLPB model to reproduce the solute-solvent free-energy transitions determined by the LRA, a "macromolecule dielectric constant" (epsilon(m)) for treating reorganization is obtained. The applicability of this hybrid approach was evaluated by calculating the absolute free energy of binding and free-energy changes for amino acid substitutions in the complex between the U1A spliceosomal protein and its cognate RNA hairpin. Depending on the residue substitution, epsilon(m) varied from 3 to 18, and reflected dipolar reorientation not included in the polarization modeled by epsilon(m) = 2. Although the changes in binding affinities from substitutions modeled strictly at the implicit level by the NLPB equation with epsilon(m) = 4 reproduced the experimental values with good overall agreement, substitutions problematic to this simple treatment showed significant improvement when solved by the NLPB-LRA approach.

Covariance analysis of RNA recognition motifs identifies functionally linked amino acids

The RNA recognition motif (RRM) is one of the most common eukaryotic protein motifs. RRM sequences form a conserved globular structure known as the RNA-binding domain (RBD) or the ribonucleoprotein domain. Many proteins that contain RRM sequences bind RNA in a sequence-specific manner. To investigate the basis for the RNA-binding specificity of RRMs, we subjected 330 aligned RRM sequences to covariance analysis. The analysis revealed a single network of covariant amino acid pairs comprising the buried core of the RBD and a surface patch. Structural studies have implicated a subset of these residues in RNA binding. The covariance linkages identify a larger set of amino acid residues, including some not directly in contact with bound RNA, that may influence RNA-binding specificity.

Protein functional epitopes: hot spots, dynamics and combinatorial libraries

Recent studies increasingly point to the importance of structural flexibility and plasticity in proteins, highlighting the evolutionary advantage. There are an increasing number of cases in which given, presumably specific, binding sites have been shown to bind a range of ligands with different compositions and shapes. These studies have also revealed that evolution tends to find convergent solutions for stable intermolecular associations, largely via conservation of polar residues as hot spots of binding energy. On the other hand, the ability to bind multiple ligands at a given site is largely derived from hinge-based motions. The consideration of these two factors in functional epitopes allows more realism and robustness in the description of protein binding surfaces and, as such, in applications to mutants, modeled structures and design. Efficient multiple structure comparison and hinge-bending structure comparison tools enable the construction of combinatorial binding epitope libraries.

Molecular dynamics and thermodynamics of protein-RNA interactions: mutation of a conserved aromatic residue modifies stacking interactions and structural adaptation in the U1A-stem loop 2 RNA complex

Molecular dynamics (MD) simulations and free energy component analysis have been performed to evaluate the molecular origins of the 5.5 kcal/mol destabilization of the complex formed between the N-terminal RNP domain of U1A and stem loop 2 of U1 snRNA upon mutation of a conserved aromatic residue, Phe56, to Ala. MD simulations, including counterions and water, have been carried out on the wild type and Phe56Ala peptide-stem loop 2 RNA complexes, the free wild type and Phe56Ala peptides, and the free stem loop 2 RNA. The MD structure of the Phe56Ala-stem loop 2 complex is similar to that of the wild type complex except the stacking interaction between Phe56 and A6 of stem loop 2 is absent and loop 3 of the peptide is more dynamic. However, the MD simulations predict large changes in the structure and dynamics of helix C and increased dynamic range of loop 3 for the free Phe56Ala peptide compared to the wild type peptide. Since helix C and loop 3 are highly variable regions of RNP domains, this indicates that a significant contribution to the reduced affinity of the Phe56Ala peptide for RNA results from cooperation between highly conserved and highly variable regions of the RNP domain of U1A. Surprisingly, these structural effects, which are manifested as cooperative free energy changes, occur in the free peptide, rather than in the complex, and are revealed only by study of both the initial and final states of the complexation process. Free energy component analysis correctly accounts for the destabilization of the Phe56Ala-stem loop 2 complex, and indicates that approximately 80% of the destabilization is due to the loss of the stacking interaction and approximately 20% is due to differences in U1A adaptation.