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PubMed1992

Neural computing in discovering RNA interactions.

High-order RNA structures are involved in regulating many biological processes; various algorithms have been designed to predict them. Experimental methods to probe such structures and to decipher the results are tedious. Artificial intelligence and the neural network approach can support the process of discovering RNA structures. Secondary structures of RNA molecules are probed by autoradiographing gels, separating end-labeled fragments generated by base-specific RNases. This process is performed in both conditions, denaturing (for sequencing purposes) and native. The resultant autoradiograms are scanned using line-detection techniques to identify the fragments by comparing the lines with those obtained by 'alkaline ladders'. The identified paired bases are treated by either one of two methods to find the foldings which are consistent with the RNases' 'cutting' rules. One exploits the maximum independent set algorithm; the other, the planarization algorithm. They require, respectively, n and n2 processing elements, where n is the number of base pairs. The state of the system usually converges to the near-optimum solution within about 500 iteration steps, where each processing element implements the McCulloch-Pitts binary neuron. Our simulator, based on the proposed algorithm, discovered a new structure in a sequence of 38 bases, which is more stable than that formerly proposed.

Algorithms↗
PubMed2003

Solution structure and RNA interactions of the RNA recognition motif from eukaryotic translation initiation factor 4B.

Eukaryotic initiation factor 4B (eIF4B) is a multidomain protein with a range of activities that serves primarily to promote association of messenger RNA to the 40S ribosomal subunit during translation initiation. We report here the solution structure of the eIF4B RNA recognition motif (RRM) domain. It adopts a classical RRM fold, with a beta alpha beta beta alpha beta topology. The most striking difference with other RRM structures is in the disposition of loop 3, which connects the beta 2 and beta 3 strands and is implicated in RNA recognition. This loop folds down against the body of the RRM and exhibits restricted motion on a milli- to microsecond time scale. Although it contributes to a large basic patch on the RNA binding surface, it does not protrude out from the domain as observed in other RRM structures, possibly implying a different mode of RNA binding. On its own, the core RRM domain provides only a relative weak interaction with RNA targets and appears to require extensions at the N- and C-terminus for high-affinity binding.

Amino Acid Motifs↗
PubMed1995

A genetic algorithm to search for optimal and suboptimal RNA secondary structures.

Genetic algorithms are a search method used in solving problems by selection, recombination and mutation of tentative solutions, until the better ones are achieved. They are very efficient when the 'building block' hypothesis is effective for the solutions, which means that a better solution can be obtained by assembling short 'motifs' or 'schemata' that can be retrieved in some other worse solutions. The additive nature of the secondary structure free energy rules suggests the validity of this hypothesis, and therefore the likely power of a genetic algorithm approach to search for RNA secondary structures. We describe in detail an original genetic algorithm specific for this problem. The sharing function used to obtain differentiated solutions is also described. It results in a greater effectiveness of the algorithm in retrieving a large number of suboptimal RNA foldings besides the optimal one. RNA sequences of different length are used to test the method. The PSTV viroid sequence has been studied.

Algorithms↗
PubMed1998

Patterns of cleavages induced by lead ions in defined RNA secondary structure motifs.

We have characterized the susceptibility of various RNA bulges, loops and other single-stranded sequences to hydrolysis promoted by Pb2+. The reactivity of bulges depends primarily on the structural context of the flanking base-pairs and the effect of nucleotide present at the 5' side of the bulge is particularly strong. The efficiency of stacking interactions between the bulged residue and its neighbors seems to determine cleavage specificity and efficiency. Hydrolysis of two- and three-nucleotide bulges depends only slightly on their nucleotide composition. In the case of terminal loops, the efficiency of their hydrolysis usually increases with the loop size and strongly depends on its nucleotide composition. Stable tetraloops UUCG, CUUG and GCAA are resistant to hydrolysis, while in some other loops of the GNRA family a single, weak cleavage occurs, suggesting the existence of structural subclasses within the family. A very efficient, specific hydrolysis of a phosphodiester bond in the single-stranded region adjacent to the stem in oligomer 12 resembles highly specific cleavages of some tRNA molecules. The reaction occurs in the presence of Pb2+, but not in the presence of several other metal ions. The Pb(2+)-cleavable RNA domain may be considered another example of leadzyme. The results of Pb(2+)-induced hydrolysis in model RNA oligomers should be useful in interpretation of cleavage patterns of much larger, naturally occurring RNA molecules.

Base Sequence↗
PubMed2006

RNA secondary structure prediction from sequence alignments using a network of k-nearest neighbor classifiers.

We present a machine learning method (a hierarchical network of k-nearest neighbor classifiers) that uses an RNA sequence alignment in order to predict a consensus RNA secondary structure. The input to the network is the mutual information, the fraction of complementary nucleotides, and a novel consensus RNAfold secondary structure prediction of a pair of alignment columns and its nearest neighbors. Given this input, the network computes a prediction as to whether a particular pair of alignment columns corresponds to a base pair. By using a comprehensive test set of 49 RFAM alignments, the program KNetFold achieves an average Matthews correlation coefficient of 0.81. This is a significant improvement compared with the secondary structure prediction methods PFOLD and RNAalifold. By using the example of archaeal RNase P, we show that the program can also predict pseudoknot interactions.

Algorithms↗
PubMed1998

A functional ribosomal RNA tertiary structure involves a base triple interaction.

Comparative sequence analysis reveals a coordinated set of nucleotide exchanges between the base pair 1092/1099 and the unpaired position 1072 [(1092/1099)1072] in the L11 binding domain of 23S ribosomal RNA. This set of exchanges has occurred at least 4 times during evolution, suggesting that these positions form a base triple. The analysis further suggests an important role for positions (1065/1073), adjacent to 1072. The covariation at positions (1092/1099)1072 is studied here by analysis of RNA variants using UV melting and binding of ribosomal protein L11 and thiostrepton to assay for tertiary folding of this domain. The tertiary structure of the RNA is eliminated by alteration of the unpaired nucleotide (C1072 to U mutation), and binding of L11 and thiostrepton are reduced 10-fold compared to the wild type. In contrast, substitution of the base pair (CG1092/1099 to UA mutation) allows formation of the tertiary structure but dramatically alters the pH dependence of tertiary folding. The fully compensated set of mutations, (CG)C to (UA)U, restores the tertiary structure of the RNA to a state almost identical to the wild type. The nature of this base triple and its implications for the folding of the RNA and ligand interactions are discussed.

Base Composition↗
PubMed2006

Correspondence regarding Ballana et al., "Mitochondrial 12S rRNA gene mutations affect RNA secondary structure and lead to variable penetrance in hearing impairment".

Ballana et al. [E. Ballana, E. Morales, R. Rabionet, B. Montserrat, M. Ventayol, O. Bravo, P. Gasparini, X. Estivill, Mitochondrial 12S rRNA gene mutations affect RNA secondary structure and lead to variable penetrance in hearing impairment, Biochem. Biophys. Res. Commun. 341 (2006) 950-957] detected a T1291C mutation segregating in a Cuban pedigree with hearing impairment. They interpreted it as probably pathogenic, based on family history, RNA conformation prediction and its absence in a control group of 95 Spanish subjects. We screened a sample of 203 deaf subjects and 300 hearing controls (110 "European-Brazilians" and 190 "African-Brazilians") for the mitochondrial mutations A1555G and T1291C. Five deaf subjects had the T1291C substitution, three isolated cases and two familial cases. In the latter, deafness was paternally inherited or segregated with the A1555G mutation. This doesn't support the hypothesis of T1291C mutation being pathogenic. Two "African-Brazilian" controls also had the T1291C substitution. Six of the seven T1291C-carriers (five deaf and two controls) had mitochondrial DNA of African origin, belonging to macrohaplogroup L1/L2. Therefore, these data point to T1291C substitution as most probably an African non-pathogenic polymorphism.

Base Sequence↗
PubMed2005

Sequence to Structure (S2S): display, manipulate and interconnect RNA data from sequence to structure.

SUMMARY: Efficient RNA sequence manipulations (such as multiple alignments) need to be constrained by rules of RNA structure folding. The structural knowledge has increased dramatically in the last years with the accumulation of several large RNA structures similar to those of the bacterial ribosome subunits. However, no tool in the RNA community provides an easy way to link and integrate progress made at the sequence level using the available three-dimensional information. Sequence to Structure (S2S) proposes a framework in which an user can easily display, manipulate and interconnect heterogeneous RNA data, such as multiple sequence alignments, secondary and tertiary structures. S2S has been implemented using the Java language and has been developed and tested under UNIX systems, such as Linux and MacOSX. AVAILABILITY: S2S is available at http://bioinformatics.org/S2S/.

Algorithms↗
PubMed1991

Structure and evolution of ribonuclease P RNA.

Eubacterial RNase P contains a catalytic RNA that cleaves 5' leader sequences from precursor tRNAs. We review the current understanding of RNase P RNA structure and evolution, from the perspective of phylogenetic comparative analysis.

Bacillus subtilis↗
PubMed2001

Conserved RNA secondary structures in Picornaviridae genomes.

The family Picornaviridae contains important pathogens including, for example, hepatitis A virus and foot-and-mouth disease virus. The genome of these viruses is a single messenger-active (+)-RNA of 7200-8500 nt. Besides coding for the viral proteins, it also contains functionally important RNA secondary structures, among them an internal ribosomal entry site (IRES) region towards the 5'-end. This contribution provides a comprehensive computational survey of the complete genomic RNAs and a detailed comparative analysis of the conserved structural elements in seven of the currently nine genera in the family PICORNAVIRIDAE: Compared with previous studies we find: (i) that only smaller sections of the IRES region than previously reported are conserved at single base-pair resolution and (ii) that there is a number of significant structural elements in the coding region. Furthermore, we identify potential cis-acting replication elements in four genera where this feature has not been reported so far.

5' Untranslated Regions↗
PubMed2001

RNA folding pathway functional intermediates: their prediction and analysis.

The massively parallel genetic algorithm (GA) for RNA structure prediction uses the concepts of mutation, recombination, and survival of the fittest to evolve a population of thousands of possible RNA structures toward a solution structure. As described below, the properties of the algorithm are ideally suited to use in the prediction of possible folding pathways and functional intermediates of RNA molecules given their sequences. Utilizing Stem Trace, an interactive visualization tool for RNA structure comparison, analysis of not only the solution ensembles developed by the algorithm, but also the stages of development of each of these solutions, can give strong insight into these folding pathways. The GA allows the incorporation of information from biological experiments, making it possible to test the influence of particular interactions between structural elements on the dynamics of the folding pathway. These methods are used to reveal the folding pathways of the potato spindle tuber viroid (PSTVd) and the host killing mechanism of Escherichia coli plasmid R1, both of which are successfully explored through the combination of the GA and Stem Trace. We also present novel intermediate folds of each molecule, which appear to be phylogenetically supported, as determined by use of the methods described below.

Algorithms↗
PubMed1996

Probing the higher order structure of RNA with peroxonitrous acid.

Potassium peroxonitrite (ONOOK) and [Fe(EDTA)]2- were used to analyze the influence of chemically entirely different hydroxyl radical sources on tRNA cleavage profiles. [Fe(EDTA)]2- gives rise to hydroxyl radicals via a Fenton-like reaction during the oxidation of chelated Fe2+, while ONOOK generates hydroxyl radicals via its conjugate acid (ONOOH) when adding a stable alkaline solution of ONOOK in samples buffered at neutral pH. [Fe(EDTA)]2- is known to induce oxidative strand scission at sugar moieties thought to be solvent accessible, while those residues located in the 'inside' of structured RNAs are protected. Although ONOOH is neutral and significantly smaller than the metal complex, both reagents generate the same protection pattern on tRNAs, suggesting that access of the commonly formed hydroxyl radical, rather than access of its source, is the determining factor when probing the higher order structure of RNA. Strong difference in reactivity is only seen at the modified 2-thiouridine S34 of tRNA(Lys3) which shows hyperreactivity towards ONOOK treatment. This particular reaction may require interaction between the peroxonitrite anion and the thiocarbonyl group of the base, since hyperreactivity is not observed when probing the dethiolated tRNA(Lys3).

Animals↗
PubMedDate not supplied

[Effect of the primary structure of RNA on the pulse character of RNA elongation in vitro by Escherichia coli RNA polymerase: a model].

The elongation rate of RNAs synthesized from AI promoters of T7 phage DNA and its deletion mutant delta DIII T7 DNA by E. coli RNA polymerase was analyzed. The distribution of incorporation rates of any definite nucleotides at any definite position along the two RNA chains was studied. The minimal structure which reproducibly forms pauses seems to be trinucleotide. Two main groups of trinucleotides could be distinguished: 1) those mostly associated with pauses and; 2) those usually found in pause free regions. The first group consists of AUG, AUA, AUC, AAU, GUG, GUA, CGU, CGC, UUA, UUU; the second one comprises AAA, CAA, CCC, UCC, CUA, CUG, CUC, GGG, ACU, GAG, GAA, GGA. A model accounting for intermittent elongation has been developed. It is based on the hypothesis that the kinetic constants of each nucleotide incorporation to and pyrophosphorolysis from the 3'-end of the growing RNA chain depend on the nature of the incoming nucleotide as well as on the nature of a nucleotide residue situated at the 3'-end of the growing RNA. A general equation describing the pause distribution along the RNA of a known nucleotide sequence is proposed.

Base Sequence↗
PubMed2006

Stimulation of HIV-1 minus strand strong stop DNA transfer by genomic sequences 3' of the primer binding site.

The mechanism of human immunodeficiency virus 1 (HIV-1) minus strand transfer was examined using a genomic RNA sequence-based donor-acceptor template system. The donor RNA, D199, was a 199-nucleotide sequence from the 5'-end of the genome to the primer binding site (PBS) and shared 97 nucleotides of homology with the acceptor RNA. To investigate the influence of RNA structure on transfer, a second donor RNA, D520, was generated by extending the 3'-end of D199 to include an additional 321 nucleotides of the genome. The position of priming, length of homology with the acceptor, and length of cDNA synthesized were identical with the two donors. Interestingly, at 200% NC coating, donor D520 yielded a transfer efficiency of about 75% compared with about 35% with D199. A large proportion of the D520 promoted transfers occurred after the donor RNA was copied to the end. Analysis of donor RNA cleavage, the acceptor invasion site and R homology requirements indicated that transfers with D520 involved a similar but more efficient acceptor invasion mechanism compared with D199. RNA structure probing by RNase T1 and the RT pause profile during synthesis indicated conformational differences between D199 and D520 in the starting structure, and in dynamic structures formed during synthesis within the R region. Overall observations suggest that regions 3' of the primer binding site influence the conformation of the R region of D520 to facilitate steps that promote strand transfer.

3' Flanking Region↗
PubMed1998

Comparison of the nucleotide sequence and secondary structure of the 5.8S ribosomal RNA gene of Chlamydomonas tetragama with those of green algae.

We have determined the nucleotide sequence of a PCR product corresponding to the 5.8S ribosomal RNA gene in Chlamydomonas tetragama and compared the obtained sequence with those of one red and eleven green algae. A phylogenetic tree based on the 5.8S rDNAs and comparison of their predicted secondary RNA structure, with attention to a region which has been proposed to base-pair with an internal guide sequence of an intron in the large subunit chloroplast rRNA, suggested that C. tetragama was not closely related with Chlamydomonas reinhardtii. These results support the previous idea that the genus Chlamydomonas is heterogenous.

Animals↗
PubMed2000

Energetics of a strongly pH dependent RNA tertiary structure in a frameshifting pseudoknot.

Retroviruses employ -1 translational frameshifting to regulate the relative concentrations of structural and non-structural proteins critical to the viral life cycle. The 1.6 A crystal structure of the -1 frameshifting pseudoknot from beet western yellows virus reveals, in addition to Watson-Crick base-pairing, many loop-stem RNA tertiary structural interactions and a bound Na(+). Investigation of the thermodynamics of unfolding of the beet western yellows virus pseudoknot reveals strongly pH-dependent loop-stem tertiary structural interactions which stabilize the molecule, contributing a net of DeltaH approximately -30 kcal mol(-1) and DeltaG degrees (37) of -3.3 kcal mol(-1) to a total DeltaH and DeltaG degrees (37) of -121 and -16 kcal mol(-1), respectively, at pH 6.0, 0.5 M K(+) by DSC. Characterization of mutant RNAs supports the presence of a C8(+).G12-C26 loop 1-stem 2 base-triple (pK(a)=6.8), protonation of which contributes nearly -3.5 kcal mol(-1) in net stability in the presence of a wild-type loop 2. Substitution of the nucleotides in loop 2 with uridine bases, which would eliminate the minor groove triplex, destroys pseudoknot formation. An examination of the dependence of the monovalent ion and type on melting profiles suggests that tertiary structure unfolding occurs in a manner quantitatively consistent with previous studies on the stabilizing effects of K(+), NH(4)(+) and Na(+) on other simple duplex and pseudoknotted RNAs.

Base Pairing↗
PubMed1979

Analysis of RNA secondary structure by photochemical reversal of psoralen crosslinks.

Aminomethyltrioxsalen (AMT), a psoralen, is known to cause interstrand crosslinks in double stranded nucleic acids. We have demonstrated the photochemical reversal of this reaction, and have used this result to develop a method for identification of specific sequences which are adjacent because of RNA secondary structure formation. E. coli 5S rRNA is used as a model system. We isolated and characterized a product that is derived from the stem region of 5S RNA.

Base Composition↗
PubMedDate not supplied

The equilibrium partition function and base pair binding probabilities for RNA secondary structure.

A novel application of dynamic programming to the folding problem for RNA enables one to calculate the full equilibrium partition function for secondary structure and the probabilities of various substructures. In particular, both the partition function and the probabilities of all base pairs are computed by a recursive scheme of polynomial order N3 in the sequence length N. The temperature dependence of the partition function gives information about melting behavior for the secondary structure. The pair binding probabilities, the computation of which depends on the partition function, are visually summarized in a "box matrix" display and this provides a useful tool for examining the full ensemble of probable alternative equilibrium structures. The calculation of this ensemble representation allows a proper application and assessment of the predictive power of the secondary structure method, and yields important information on alternatives and intermediates in addition to local information about base pair opening and slippage. The results are illustrated for representative tRNA, 5S RNA, and self-replicating and self-splicing RNA molecules, and allow a direct comparison with enzymatic structure probes. The effect of changes in the thermodynamic parameters on the equilibrium ensemble provides a further sensitivity check to the predictions.

Animals↗