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Discovery of ligands by a combination of computational and NMR-based screening: RNA as an example target.

NMR for screening of knowledge-based focused libraries of compounds provides an efficient, cost-effective method to develop promising drug leads that target functionally important RNA structures. A knowledge-based focused library may be constructed from virtual (i.e., computational) screening of commercial or proprietary databases of available compounds for binding to the three-dimensional structure of a selected RNA target. Alternatively, the library may be constructed from compounds with properties deemed desirable, e.g., molecular moiety commonly found in drugs or known to bind RNA. The library ideally should be composed of small water-soluble, nonpeptide, nonnucleotide organic compounds. Various simple, robust NMR experiments are described that enable experimental screening of such a library for binding to a selected RNA structure. Some of the NMR experiments enable rapid mapping of the interaction site on the RNA to verify that the targeted structure is hit rather than the double helical region or a commonly occurring tetraloop. Other experiments enable elucidation of the ligand's binding moiety. Of course, any compounds thus identified should represent promising scaffolds suitable for easy chemical modification to enhance their pharmaceutical properties for subsequent drug development.

Computational Biology↗

A new distance for high level RNA secondary structure comparison.

We describe an algorithm for comparing two RNA secondary structures coded in the form of trees that introduces two new operations, called node fusion and edge fusion, besides the tree edit operations of deletion, insertion, and relabeling classically used in the literature. This allows us to address some serious limitations of the more traditional tree edit operations when the trees represent RNAs and what is searched for is a common structural core of two RNAs. Although the algorithm complexity has an exponential term, this term depends only on the number of successive fusions that may be applied to a same node, not on the total number of fusions. The algorithm remains therefore efficient in practice and is used for illustrative purposes on ribosomal as well as on other types of RNAs.

Algorithms↗

Zero-temperature properties of RNA secondary structures.

We analyze different microscopic RNA models at zero temperature. We discuss both the most simple model, which suffers a large degeneracy of the ground state, and models in which the degeneracy has been removed in a more or less severe manner. We calculate low-energy density of states using a coupling perturbing method, where the ground state of a modified Hamiltonian, that repels the original ground state, is determined. We evaluate scaling exponents starting from measurements of overlaps and energy differences. In the case of models without accidental degeneracy of the ground state we are able to clearly establish the existence of a glassy phase with theta approximately 1/3. 87.15.Aa, 64.60.Fr

Freezing↗

Evaluation of the suitability of free-energy minimization using nearest-neighbor energy parameters for RNA secondary structure prediction.

BACKGROUND: A detailed understanding of an RNA's correct secondary and tertiary structure is crucial to understanding its function and mechanism in the cell. Free energy minimization with energy parameters based on the nearest-neighbor model and comparative analysis are the primary methods for predicting an RNA's secondary structure from its sequence. Version 3.1 of Mfold has been available since 1999. This version contains an expanded sequence dependence of energy parameters and the ability to incorporate coaxial stacking into free energy calculations. We test Mfold 3.1 by performing the largest and most phylogenetically diverse comparison of rRNA and tRNA structures predicted by comparative analysis and Mfold, and we use the results of our tests on 16S and 23S rRNA sequences to assess the improvement between Mfold 2.3 and Mfold 3.1. RESULTS: The average prediction accuracy for a 16S or 23S rRNA sequence with Mfold 3.1 is 41%, while the prediction accuracies for the majority of 16S and 23S rRNA structures tested are between 20% and 60%, with some having less than 20% prediction accuracy. The average prediction accuracy was 71% for 5S rRNA and 69% for tRNA. The majority of the 5S rRNA and tRNA sequences have prediction accuracies greater than 60%. The prediction accuracy of 16S rRNA base-pairs decreases exponentially as the number of nucleotides intervening between the 5' and 3' halves of the base-pair increases. CONCLUSION: Our analysis indicates that the current set of nearest-neighbor energy parameters in conjunction with the Mfold folding algorithm are unable to consistently and reliably predict an RNA's correct secondary structure. For 16S or 23S rRNA structure prediction, Mfold 3.1 offers little improvement over Mfold 2.3. However, the nearest-neighbor energy parameters do work well for shorter RNA sequences such as tRNA or 5S rRNA, or for larger rRNAs when the contact distance between the base-pairs is less than 100 nucleotides.

Base Sequence↗

Unusual structural features of the 5S ribosomal RNA from Streptococcus cremoris.

The nucleotide sequence of the 5S ribosomal RNA of Streptococcus cremoris has been determined. The sequence is 5' (sequence in text) 3'. Comparison of the S. cremoris 5S RNA sequence to an updated prokaryotic generalized 5S RNA structural model shows that this 5S RNA contains some unusual structural features. These features result largely from uncommon base substitutions in helices I, II and IV. Some of these unusual structural features are shared by several of the known 5S RNA sequences from mycoplasmas. However, the characteristic bloc of deletions found in helix V of these mycoplasma 5S RNAs is not present in the 5S RNA of S. cremoris.

Base Sequence↗

Evidence for tertiary structural RNA-RNA interactions within the protein S4 binding site at the 5'-end of 16S ribosomal RNA of Escherichia coli.+.

Evidence is presented for tertiary structural interaction(s) (interactions(s) between two regions of an RNA molecule that are widely separated in the RNA sequence) within the 5'-one third of the 16S ribosomal RNA of Escherichia coli that constitutes the binding site of protein S4. The two main interacting RNA regions were separated by about 120 nucleotides (sections Q to M) of the 16S RNA sequence. A second, smaller gap, of 13 nucleotides, occurred within section C". The two main interacting regions contain about 150 nucleotides (sections H" to Q) and 160 nucleotides (sections M to C"). They are folded back on one another and, especially in the presence of protein S4, are strongly protected against ribonuclease digestion. The intermediate region (sections Q to M), however, is relatively accessible to ribonucleases in the S4-RNP. By partial removal of subfragments from the RNA complex it was possible to localise the two main interacting sites within sections H" - H and sections I" - C". Three main criteria for the specificity of the RNA-RNA interactions were invoked and satisfied. The possibility of other tertiary structural RNA-RNA interactions occurring in other regions of the 16S RNA is discussed. Finally, all the structural information on the S4-RNP is summarised and a tentative model is proposed.

Base Sequence↗

Stable polypeptides associated with the 250S mengovirus-induced RNA polymerase structure.

One host polypeptide (40,000 daltons) synthesized prior to infection is associated with the 250S RNA polymerase structure partially purified by a combination of velocity sedimentation and isopycnic separation. A series of pulse-chase experiments have shown that a 56,000 dalton polypeptide made during the eclipse phase of infection is inserted into the 250S viral RNA polymerase structure. This 56,000 dalton polypeptide is bound in a stable manner since labeled 56,000 dalton polypeptide is not removed from the 250S polymerase structure by a 2-hour chase (3 to 5 hours after infection) and it is the major labeled polypeptide species remaining. However, the 56,000 dalton polypeptide (viral-specific polypeptide E) made at 4 hours after infection is not present in the 250S polymerase structure following a 50 minue chase. Levels of cycloheximide which inhibit protein synthesis 95 per cent in the infected cell have no effect on the amount of viral-specific RNA polymerase activity (in vitro) when the inhibitor is added for 30 minutes at the time of maximum rate of viral RNA synthesis in whole cells. These inhibitor studies support the hypothesis that the viral-specific RNA polymerase polypeptide may be a stable polypeptide that is not rapidly turning over in the infected cell. In view of these results the stable 56,000 dalton polypeptide (polypeptide E) made early in infection may be a candidate for the viral-specific polymerase polypeptide.

Amino Acids↗

Analysis of RNA secondary structure in replication of human parainfluenza virus type 3.

The terminal RNA regions of the genomic and antigenomic RNAs of the paramyxoviruses and rhabdoviruses are known to contain sequences essential for RNA replication and transcription. The 3'- and 5'-termini of human parainfluenza virus type 3 (HPIV3) genomic RNA, termed leader and trailer sequences, respectively, are capable of forming stable stem-loop structures. Additionally, the 17 terminal bases of the leader and trailer are complementary and therefore also capable of forming a helical structure. We investigated the roles of the stem-loop structure and terminal complementarity in HPIV3 RNA replication and transcription in vivo using a minigenome containing all RNA elements necessary for these processes. By mutational analysis, we show that the RNA secondary structure features present at the termini of HPIV3 have no discernible role in replication or transcription. Rather, the primary sequence of these regions is what is critical in promoting replication. Interestingly, a mutation at leader base 24 was found to revert a mutation at leader position 5 but probably not via RNA secondary structure restoration.

Base Pairing↗

The Escherichia coli RNA degradosome: structure, function and relationship in other ribonucleolytic multienzyme complexes.

mRNA instability is an intrinsic property that permits timely changes in gene expression by limiting the lifetime of a transcript. The RNase e of Escherichia coli is a single-strand-specific endo-nuclease involved in the processing of rRNA and the degradation of mRNA. A nucleolytic multi-enzyme complex now known as the RNA degradosome was discovered during the purification and characterization of RNase E. Two other components are a 3' exoribonuclease (polynucleotide phosphorylase, PNPase) and a DEAD-box RNA helicase (RNA helicase B, RhlB). RNase E is a large multidomain protein with N-terminal ribonucleolytic activity, an RNA-binding domain and a C-terminal "scaffold" that binds PNPase, enolase and RhlB. RhlB by itself has little activity but is strongly stimiulated by its interaction with RNase E. RhlB in vitro can facilitate the degradation of structured RNA by PNPase. Since the discovery of the RNA degradosome in E. coli, related complexes have been described in other organisms.

Endoribonucleases↗

Prediction of sequentially optimal RNA secondary structures.

A rigorous mathematical modeling of the RNA sequential folding process during transcription is proposed. It is based, at each transcription step, on a homogeneous markovian jump process, the state space of which is the set of structures constructible on the part of the RNA already transcribed. A theoretical formula permitting the computation of the structures probabilities at the end of the RNA transcription is derived. Successive approximations, aimed at reducing the size of the state space, permit the design of a prediction algorithm. The algorithm is tested on some structural RNAs (tRNA, 5S, 16S, hammerhead, ...), results are discussed and possible improvements are proposed.

Algorithms↗

Effects of RNA secondary structure on alternative splicing of pre-mRNA: is folding limited to a region behind the transcribing RNA polymerase?

The use in vivo of an alternative 5' splice site sequestered within a short stem of potential RNA secondary structure is determined by the length of the loop. Above a threshold length of loop, the alternative site is used despite the potential structure. In contrast, the alternative site is used very little or not at all during splicing in vitro with all lengths of loop that we have tested. A model is proposed which suggests that pre-mRNA is free to fold only within a limited period after transcription.

Animals↗

Detection of common motifs in RNA secondary structures.

We describe a novel computerized system for comparison of RNA secondary structures and demonstrate its use for experimental studies. The system is able to screen a very large number of structures, to cluster similar structures and to detect specific structural motifs. In particular, the system is useful for detecting mutations with specific structural effects among all possible point mutations, and for predicting compensatory mutations that will restore the wild type structure. The algorithms are independent of the folding rules that are used to generate the secondary structures.

Algorithms↗

A hairpin structure in the R region of the human immunodeficiency virus type 1 RNA genome is instrumental in polyadenylation site selection.

Some retroviruses with an extended repeat (R) region encode the polyadenylation signal within the R region such that this signal is present at both the 5' and 3' ends of the viral transcript. This necessitates differential regulation to either repress recognition of the 5' polyadenylation signal or enhance usage of the 3' signal. The human immunodeficiency virus type 1 (HIV-1) genome encodes an inherently efficient polyadenylation signal within the 97-nucleotide R region. Polyadenylation at the 5' HIV-1 polyadenylation site is inhibited by downstream splicing signals, and usage of the 3' polyadenylation site is triggered by an upstream enhancer element. In this paper, we demonstrate that this on-off switch of the HIV-1 polyadenylation signal is controlled by a secondary RNA structure that occludes part of the AAUAAA hexamer motif, which we have termed the polyA hairpin. Opening the 5' hairpin by mutation triggered premature polyadenylation and caused reduced synthesis of viral RNA, indicating that the RNA structure plays a pivotal role in repression of the 5' polyadenylation site. Apparently, the same hairpin structure does not interfere with efficient usage of the 3' polyadenylation site, which may be due to the presence of the upstream enhancer element. However, when the 3' hairpin was further stabilized by mutation, we measured a complete loss of 3' polyadenylation. Thus, the thermodynamic stability of the polyA hairpin is delicately balanced to allow nearly complete repression of the 5' site yet efficient activation of the 3' site. This is the first report of regulated polyadenylation that is mediated by RNA secondary structure. A similar hairpin motif that occludes the polyadenylation signal can be proposed for other lentiviruses and members of the spumaretroviruses, suggesting that this represents a more general gene expression strategy of complex retroviruses.

HIV-1↗

A native RNA secondary structure controls alternative splice-site selection and generates two human growth hormone isoforms.

Consensus sequences at the splice donor, splice acceptor, and lariat branch point regions are necessary but insufficient determinants of splice-site selection in nuclear precursor mRNAs. Sequences outside of these regions can have a significant effect on the utilization of splice sites. Although the mode of action of such sequences is undefined in most cases, higher order RNA structures have been suggested as a potential contributor to splice-site selection. During a detailed analysis of the splicing patterns of the human growth hormone transcript, we located 2 bases in the vicinity of the exon 3 major splice-acceptor site (B) which facilitate the utilization of a competing downstream acceptor (B'). The effects of a series of site-specific mutations on the splicing pattern demonstrate that these 2 bases function by stabilizing a specific stem-loop structure in the native transcript. This defined secondary structure selectively encompasses the upstream B splice-acceptor site together with its lariat branch point region. Increasing the predicted stability of this stem by point mutations results in a corresponding shift in splicing towards the alternative B' splice-acceptor site. These results indicate that a specific secondary structure within the native human growth hormone transcript controls the relative utilization of two competing splice-acceptor sites with the consequent generation of two functionally distinct hormone isoforms.

Animals↗

Identification of consensus RNA secondary structures using suffix arrays.

BACKGROUND: The identification of a consensus RNA motif often consists in finding a conserved secondary structure with minimum free energy in an ensemble of aligned sequences. However, an alignment is often difficult to obtain without prior structural information. Thus the need for tools to automate this process. RESULTS: We present an algorithm called Seed to identify all the conserved RNA secondary structure motifs in a set of unaligned sequences. The search space is defined as the set of all the secondary structure motifs inducible from a seed sequence. A general-to-specific search allows finding all the motifs that are conserved. Suffix arrays are used to enumerate efficiently all the biological palindromes as well as for the matching of RNA secondary structure expressions. We assessed the ability of this approach to uncover known structures using four datasets. The enumeration of the motifs relies only on the secondary structure definition and conservation only, therefore allowing for the independent evaluation of scoring schemes. Twelve simple objective functions based on free energy were evaluated for their potential to discriminate native folds from the rest. CONCLUSION: Our evaluation shows that 1) support and exclusion constraints are sufficient to make an exhaustive search of the secondary structure space feasible. 2) The search space induced from a seed sequence contains known motifs. 3) Simple objective functions, consisting of a combination of the free energy of matching sequences, can generally identify motifs with high positive predictive value and sensitivity to known motifs.

Algorithms↗

Targeted site-specific cleavage of HIV-1 viral Rev responsive element by copper aminoglycosides.

Site-specific cleavage of the HIV-1 viral Rev responsive element by copper aminoglycosides is reported under physiological conditions. This bubble and stem-loop RNA structure is efficiently targeted at micromolar concentrations of complex. The specificity of cleavage of structured viral RNA relative to a non-cognate tRNAPhe of well-defined secondary and tertiary structure is demonstrated. Cleavage products from simpler substrates [diribonucleotide (ApA) and 2',3'-cyclic monophosphate ester (cAMP)] were analyzed by 31P NMR and demonstrate a hydrolytic mechanism in the absence of external redox agents. These results demonstrate copper aminoglycosides to be highly efficient chemical nucleases with a targeting capability for viral RNA and suggest a novel methodology to counter RNA viruses.

Aminoglycosides↗

Statistical correlation between protein secondary structure and messenger RNA stem-loop structure.

A new integrated sequence-structure database, called IADE (Integrated ASTRAL-DSSP-EMBL), incorporating matching mRNA sequence, amino acid sequence, and protein secondary structural data, is constructed. It includes 648 protein domains. Based on the IADE database, we studied the relation between RNA stem-loop frequencies and protein secondary structure. It was found that the alpha-helices and beta-strands on proteins tend to be preferably "coded" by mRNA stem region, while the coils on proteins tend to be preferably "coded" by mRNA loop region. These tendencies are more obvious if we observe the structural words (SWs). An SW is defined by a four-amino-acid-fragment that shows the pronounced secondary structural (alpha-helix or beta-strand) propensity. It is demonstrated that the deduced correlation between protein and mRNA structure can hardly be explained as the stochastic fluctuation effect.

Databases as Topic↗

Clustering of RNA secondary structures with application to messenger RNAs.

There is growing evidence of translational gene regulation at the mRNA level, and of the important roles of RNA secondary structure in these regulatory processes. Because mRNAs likely exist in a population of structures, the popular free energy minimization approach may not be well suited to prediction of mRNA structures in studies of post-transcriptional regulation. Here, we describe an alternative procedure for the characterization of mRNA structures, in which structures sampled from the Boltzmann-weighted ensemble of RNA secondary structures are clustered. Based on a random sample of full-length human mRNAs, we find that the minimum free energy (MFE) structure often poorly represents the Boltzmann ensemble, that the ensemble often contains multiple structural clusters, and that the centroids of a small number of structural clusters more effectively characterize the ensemble. We show that cluster-level characteristics and statistics are statistically reproducible. In a comparison between mRNAs and structural RNAs, similarity is observed for the number of clusters and the energy gap between the MFE structure and the sampled ensemble. However, for structural RNAs, there are more high-frequency base-pairs in both the Boltzmann ensemble and the clusters, and the clusters are more compact. The clustering features have been incorporated into the Sfold software package for nucleic acid folding and design.

Base Pairing↗