Evidence map›Paper›PMID 22645380›Full record

ArticleRNA (New York, N.Y.)2012

RNASTAR: an RNA STructural Alignment Repository that provides insight into the evolution of natural and artificial RNAs.

Jeremy Widmann, Jesse Stombaugh, Daniel McDonald, Jana Chocholousova, Paul Gardner, Matthew K Iyer, Zongzhi Liu, Catherine A Lozupone, John Quinn, Sandra Smit and 3 more

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Developmental patterning of adipose tissue bybioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Jeremy WidmannDepartment of Chemistry and Biochemistry, University of Colorado at Boulder, Boulder, Colorado 80309, USA.
Jesse Stombaugh
Daniel McDonald
Jana Chocholousova
Paul Gardner
Matthew K Iyer
Zongzhi Liu
Catherine A Lozupone
John Quinn
Sandra Smit
Shandy Wikman
Jesse R R Zaneveld
Rob Knight

Funding

TRAINING IN SIGNAL TRANSDUCTION &CELL CYCLE REGULATIONT32GM008759 · NIGMS · UNIVERSITY OF COLORADO AT BOULDER · PI AHN, NATALIE G. · 2000 to 2020
$5.9M
Predoctoral Training Program in Signaling and Cellular Regulation INCLUDE Down Syndrome SupplementT32GM142607 · NIGMS · UNIVERSITY OF COLORADO · PI Sabrina Leigh Spencer, Tin Tin Su · 2021 to 2026
$3.6M
New Tools for Understanding the Composition and Dynamics of Microbial CommunitiesR01HG004872 · NHGRI · UNIVERSITY OF COLORADO · PI KNIGHT, ROB · 2008 to 2012
$1.8M
Howard Hughes Medical InstituteNHGRI NIH HHS R01 HG004872NIGMS NIH HHS T32 GM008759NIGMS NIH HHS T32 GM142607
6 · The paper itself

Abstract

Automated RNA alignment algorithms often fail to recapture the essential conserved sites that are critical for function. To assist in the refinement of these algorithms, we manually curated a set of 148 alignments with a total of 9600 unique sequences, in which each alignment was backed by at least one crystal or NMR structure. These alignments included both naturally and artificially selected molecules. We used principles of isostericity to improve the alignments from an average of 83%-94% isosteric base pairs. We expect that this alignment collection will assist in a wide range of benchmarking efforts and provide new insight into evolutionary principles governing change in RNA structural motifs. The improved alignments have been contributed to the Rfam database.

Indexed as

Databases, Nucleic AcidEvolution, MolecularNucleic Acid ConformationSequence AlignmentAlgorithmsBase SequenceMagnetic Resonance SpectroscopyModels, MolecularMolecular Sequence DataNucleotide MotifsRNARNA

Identifiers

PMID22645380
PMCPMC3383963

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.