Hydrogen bond rotations as a uniform structural tool for analyzing protein architecture

Proteins fold into three-dimensional structures, which determine their diverse functions. The conformation of the backbone of each structure is locally at each Cα effectively described by conformational angles resulting in Ramachandran plots. These, however, do not describe the conformations around hydrogen bonds, which can be non-local along the backbone and are of major importance for protein structure. Here, we introduce the spatial rotation between hydrogen bonded peptide planes as a new descriptor for protein structure locally around a hydrogen bond. Strikingly, this rotational descriptor sampled over high-quality structures from the protein data base (PDB) concentrates into 30 localized clusters, some of which correlate to the common secondary structures and others to more special motifs, yet generally providing a unifying systematic classification of local structure around protein hydrogen bonds. It further provides a uniform vocabulary for comparison of protein structure near hydrogen bonds even between bonds in different proteins without alignment

Impact of instrumentation in lumbar spinal fusion in elderly patients

Background and purpose An increasing number of lumbar fusions are performed using allograft to avoid donor-site pain. In elderly patients, fusion potential is reduced and the patient may need supplementary stability to achieve a solid fusion if allograft is used. We investigated the effect of instrumentation in lumbar spinal fusion performed with fresh frozen allograft in elderly patients

Multithreaded comparative RNA secondary structure prediction using stochastic context-free grammars

Abstract Background The prediction of the structure of large RNAs remains a particular challenge in bioinformatics, due to the computational complexity and low levels of accuracy of state-of-the-art algorithms. The pfold model couples a stochastic context-free grammar to phylogenetic analysis for a high accuracy in predictions, but the time complexity of the algorithm and underflow errors have prevented its use for long alignments. Here we present PPfold, a multithreaded version of pfold, which is capable of predicting the structure of large RNA alignments accurately on practical timescales. Results We have distributed both the phylogenetic calculations and the inside-outside algorithm in PPfold, resulting in a significant reduction of runtime on multicore machines. We have addressed the floating-point underflow problems of pfold by implementing an extended-exponent datatype, enabling PPfold to be used for large-scale RNA structure predictions. We have also improved the user interface and portability: alongside standalone executable and Java source code of the program, PPfold is also available as a free plugin to the CLC Workbenches. We have evaluated the accuracy of PPfold using BRaliBase I tests, and demonstrated its practical use by predicting the secondary structure of an alignment of 24 complete HIV-1 genomes in 65 minutes on an 8-core machine and identifying several known structural elements in the prediction. Conclusions PPfold is the first parallelized comparative RNA structure prediction algorithm to date. Based on the pfold model, PPfold is capable of fast, high-quality predictions of large RNA secondary structures, such as the genomes of RNA viruses or long genomic transcripts. The techniques used in the parallelization of this algorithm may be of general applicability to other bioinformatics algorithms.</p

Out-of-Plane Aptamer Functionalization of RNA Three-Helix Tiles

Co-transcriptionally folding RNA nanostructures have great potential as biomolecular scaffolds, which can be used to organize small molecules or proteins into spatially ordered assemblies. Here, we develop an RNA tile composed of three parallel RNA double helices, which can associate into small hexagonal assemblies via kissing loop interactions between its two outer helices. The inner RNA helix is modified with an RNA motif found in the internal ribosome entry site (IRES) of the hepatitis C virus (HCV), which provides a 90&#176; bend. This modification is used to functionalize the RNA structures with aptamers pointing perpendicularly away from the tile plane. We demonstrate modifications with the fluorogenic malachite green and Spinach aptamers as well with the protein-binding PP7 and streptavidin aptamers. The modified structures retain the ability to associate into larger assemblies, representing a step towards RNA hybrid nanostructures extending in three dimensions

A genomic selection strategy to identify accessible and dimerization blocking targets in the 5′-UTR of HIV-1 RNA

Defining target sites for antisense oligonucleotides in highly structured RNA is a non-trivial exercise that has received much attention. Here we describe a novel and simple method to generate a library composed of all 20mer oligoribonucleotides that are sense- and antisense to any given sequence or genome and apply the method to the highly structured HIV-1 leader RNA. Oligoribonucleotides that interact strongly with folded HIV-1 RNA and potentially inhibit its dimerization were identified through iterative rounds of affinity selection by native gel electrophoresis. We identified five distinct regions in the HIV-1 RNA that were particularly prone to antisense annealing and a structural comparison between these sites suggested that the 3′-end of the antisense RNA preferentially interacts with single-stranded loops in the target RNA, whereas the 5′-end binds within double-stranded regions. The selected RNA species and corresponding DNA oligonucleotides were assayed for HIV-1 RNA binding, ability to block reverse transcription and/or potential to interfere with dimerization. All the selected oligonucleotides bound rapidly and strongly to the HIV-1 leader RNA in vitro and one oligonucleotide was capable of disrupting RNA dimers efficiently. The library selection methodology we describe here is rapid, inexpensive and generally applicable to any other RNA or RNP complex. The length of the oligonucleotide in the library is similar to antisense molecules generally applied in vivo and therefore likely to define targets relevant for HIV-1 therapy