Evidence map›Paper›PMID 39328267›Full record

ArticleNAR genomics and bioinformatics2024

RNAMotifProfile: a graph-based approach to build RNA structural motif profiles.

Md Mahfuzur Rahaman, Shaojie Zhang

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Md Mahfuzur RahamanDepartment of Computer Science, University of Central Florida, 4328 Scorpius Street, Orlando, FL 32816-2362, USA.ORCID https://orcid.org/0000-0001-5963-4970
Shaojie ZhangDepartment of Computer Science, University of Central Florida, 4328 Scorpius Street, Orlando, FL 32816-2362, USA.ORCID https://orcid.org/0000-0002-4051-5549

Funding

RNA Structural Motif Analysis Revisited: Towards a Systematic Understanding of Noncoding RNA as Modular BiomoleculesR01GM102515 · NIGMS · UNIVERSITY OF CENTRAL FLORIDA · PI ZHANG, SHAOJIE, ZHONG, CUNCONG · 2012 to 2025
$2.3M
NIGMS NIH HHS R01 GM102515
6 · The paper itself

Abstract

RNA structural motifs are the recurrent segments in RNA three-dimensional structures that play a crucial role in the functional diversity of RNAs. Understanding the similarities and variations within these recurrent motif groups is essential for gaining insights into RNA structure and function. While recurrent structural motifs are generally assumed to be composed of the same isosteric base interactions, this consistent pattern is not observed across all examples of these motifs. Existing methods for analyzing and comparing RNA structural motifs may overlook variations in base interactions and associated nucleotides. RNAMotifProfile is a novel profile-to-profile alignment algorithm that generates a comprehensive profile from a group of structural motifs, incorporating all base interactions and associated nucleotides at each position. By structurally aligning input motif instances using a guide-tree-based approach, RNAMotifProfile captures the similarities and variations within recurrent motif groups. Additionally, RNAMotifProfile can function as a motif search tool, enabling the identification of instances of a specific motif family by searching with the corresponding profile. The ability to generate accurate and comprehensive profiles for RNA structural motif families, and to search for these motifs, facilitates a deeper understanding of RNA structure-function relationships and potential applications in RNA engineering and therapeutic design.

Identifiers

PMID39328267
PMCPMC11426329

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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.