Evidence map›Paper›PMID 11713323›Full record

ArticleNucleic acids research2001

RNAMotif, an RNA secondary structure definition and search algorithm.

T J Macke, D J Ecker, R R Gutell, D Gautheret, D A Case, R Sampath

Abstract read
In one paragraph

Article in Nucleic acids research, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 256 papers.

0numbers the graph read from it
0cells of the map it votes in
256citing 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

256 citing papers in PubMed.

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  12. Comprehensive Profiling of Roquin Binding Preferences for RNA Stem-Loops.Angewandte Chemie (International ed. in English) · 2024
    Article
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  19. Review
  20. The NovelViruses · 2023
    Article

196 more citing papers are in PubMed but not listed here.

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

6 authors.

T J MackeIbis Therapeutics, 2292 Faraday Avenue, Carlsbad, CA 92008, USA.
D J Ecker
R R Gutell
D Gautheret
D A Case
R Sampath

Funding

RNA STRUCTURE DETERMINATION WITH COMPARATIVE METHODSR01GM048207 · NIGMS · UNIVERSITY OF TEXAS AUSTIN · PI GUTELL, ROBIN R · 1992 to 1999
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NIGMS NIH HHS GM48207
6 · The paper itself

Abstract

RNA molecules fold into characteristic secondary and tertiary structures that account for their diverse functional activities. Many of these RNA structures are assembled from a collection of RNA structural motifs. These basic building blocks are used repeatedly, and in various combinations, to form different RNA types and define their unique structural and functional properties. Identification of recurring RNA structural motifs will therefore enhance our understanding of RNA structure and help associate elements of RNA structure with functional and regulatory elements. Our goal was to develop a computer program that can describe an RNA structural element of any complexity and then search any nucleotide sequence database, including the complete prokaryotic and eukaryotic genomes, for these structural elements. Here we describe in detail a new computational motif search algorithm, RNAMotif, and demonstrate its utility with some motif search examples. RNAMotif differs from other motif search tools in two important aspects: first, the structure definition language is more flexible and can specify any type of base-base interaction; second, RNAMotif provides a user controlled scoring section that can be used to add capabilities that patterns alone cannot provide.

Indexed as

AlgorithmsNucleic Acid Conformation3' Untranslated Regions5' Untranslated RegionsBase SequenceEscherichia coliHumansMolecular Sequence DataRNARNA, BacterialRNA, Ribosomal, 16SRNA, Ribosomal, 23SSequence Alignment3' Untranslated Regions5' Untranslated RegionsRNARNA, BacterialRNA, Ribosomal, 16SRNA, Ribosomal, 23S

Identifiers

PMID11713323
PMCPMC92549

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.