Evidence map›Paper›PMID 40276118›Full record

ArticleComputational and structural biotechnology journal2025

Easy triplex: An online tool for predicting the formation of DNA-RNA triple helices.

Lintao Xian, Jianming Liu, Shunshun Zhu, Fan Liang, Hao Luo, Li Zhao, Min Shi, Cheng Gong, Zhen Li, Tao Guo

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

10 authors.

Lintao XianDepartment of Intelligent Medical Engineering, School of Basic Medical Sciences, Shandong Second Medical University, Weifang 261053, China.
Jianming LiuDepartment of Intelligent Medical Engineering, School of Basic Medical Sciences, Shandong Second Medical University, Weifang 261053, China.
Shunshun ZhuDepartment of Pathophysiology, School of Basic Medical Sciences, Shandong Second Medical University, Weifang 261053, China.
Fan LiangDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Shandong Second Medical University, Weifang 261053, China.
Hao LuoDepartment of Pathology, School of Basic Medical Sciences, Shandong Second Medical University, Weifang 261053, China.
Li ZhaoDepartment of Clinical Microbiology, School of Laboratory Medicine, Shandong Second Medical University, Weifang 261053, China.
Min ShiDepartment of Pathophysiology, School of Basic Medical Sciences, Shandong Second Medical University, Weifang 261053, China.
Cheng GongDepartment of Hepatobiliary and Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Zhen LiDepartment of Hepatobiliary and Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Tao GuoDepartment of Pathophysiology, School of Basic Medical Sciences, Shandong Second Medical University, Weifang 261053, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence supports the idea that intranuclear noncoding RNAs interact with target DNA to regulate their expression. The structural basis of this process involves the formation of DNA-RNA triple helices without unwinding the DNA double helix. This triplex formation process relies on the base pairing of the triplex target site (TTS) and the triplex-forming oligonucleotide (TFO), making the prediction of their binding crucial for mechanistic investigations. Here, we propose an online tool called Easy Triplex for predicting the formation of DNA-RNA triplexes. Using the canonical Hoogsteen pairing rules, Easy Triplex matches and predicts the details and distribution of all TTSs and TFOs on the basis of the user-provided DNA and RNA sequences. Practical application has shown that Easy Triplex can efficiently and accurately predict known triplex information. Its flexible parameter settings and scientifically set default output thresholds make Easy Triplex suitable for predicting the TFOs of both long and short noncoding RNAs. Additionally, users can choose to export the distribution information of CpG islands on the DNA sequence for further TTS screening. Thus, Easy Triplex is a simple and convenient online tool for predicting triplex formation. Easy Triplex is publicly accessible at http://easy-triplex.com/.

Indexed as

Hoogsteen pairingNon-coding RNAOnline toolTriplex

Identifiers

PMID40276118
PMCPMC12018089

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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.