ArticleNucleic acids research2011
The RNAmute web server for the mutational analysis of RNA secondary structures.
Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- RNAsmc: A integrated tool for comparing RNA secondary structure and evaluating allosteric effects.Computational and structural biotechnology journal · 2023Article
- A Mathematical Analysis of HDV Genotypes: From Molecules to Cells.Mathematics (Basel, Switzerland) · 2021Article
- SSS-test: a novel test for detecting positive selection on RNA secondary structure.BMC bioinformatics · 2019Article
- SilentMutations (SIM): A tool for analyzing long-range RNA-RNA interactions in viral genomes and structured RNAs.Virus research · 2019Article
- Classification of RNA structure change by 'gazing' at experimental data.Bioinformatics (Oxford, England) · 2017Article
- The RNAsnp web server: predicting SNP effects on local RNA secondary structure.Nucleic acids research · 2013Article
- Ebola virus RNA editing depends on the primary editing site sequence and an upstream secondary structure.PLoS pathogens · 2013Article
- Efficient procedures for the numerical simulation of mid-size RNA kinetics.Algorithms for molecular biology : AMB · 2012Article
- Evaluating our ability to predict the structural disruption of RNA by SNPs.BMC genomics · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RNA mutational analysis at the secondary-structure level can be useful to a wide-range of biological applications. It can be used to predict an optimal site for performing a nucleotide mutation at the single molecular level, as well as to analyze basic phenomena at the systems level. For the former, as more sequence modification experiments are performed that include site-directed mutagenesis to find and explore functional motifs in RNAs, a pre-processing step that helps guide in planning the experiment becomes vital. For the latter, mutations are generally accepted as a central mechanism by which evolution occurs, and mutational analysis relating to structure should gain a better understanding of system functionality and evolution. In the past several years, the program RNAmute that is structure based and relies on RNA secondary-structure prediction has been developed for assisting in RNA mutational analysis. It has been extended from single-point mutations to treat multiple-point mutations efficiently by initially calculating all suboptimal solutions, after which only the mutations that stabilize the suboptimal solutions and destabilize the optimal one are considered as candidates for being deleterious. The RNAmute web server for mutational analysis is available at http://www.cs.bgu.ac.il/~xrnamute/XRNAmute.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.