Evidence map›Paper›PMID 41963783›Full record

ArticleBMC bioinformatics2026

QStrain: an interactive platform for viral genome analysis and nucleic acid therapeutic design.

Euna Jeong, Seungyean Lee, Sumin Jeong, Hansaem Lee, Kyung-Chang Kim, Joo-Yeon Lee, Minwook Shin, Sukjoon Yoon

Abstract read
In one paragraph

Article in BMC bioinformatics, 2026. 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

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

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

8 authors.

Euna Jeong *Research Institute of Women's Health, Sookmyung Women's University, Seoul, 04310, Republic of Korea.
Seungyean Lee *Department of Biological Sciences, Sookmyung Women's University, Seoul, 04310, Republic of Korea.
Sumin Jeong *Department of Biological Sciences, Sookmyung Women's University, Seoul, 04310, Republic of Korea.
Hansaem LeeDivision of Emerging Virus and Vector Research, Korea National Institute of Infectious Diseases, Korea National Institute of Health, Cheongju-si, Chungcheongbuk-do, 28161, Republic of Korea.
Kyung-Chang KimDivision of Emerging Virus and Vector Research, Korea National Institute of Infectious Diseases, Korea National Institute of Health, Cheongju-si, Chungcheongbuk-do, 28161, Republic of Korea.
Joo-Yeon LeeCenter for Emerging Virus Research, National Institute of Infectious Diseases, Korea National Institute of Health, Cheongju-si, Chungcheongbuk-do, 28161, Republic of Korea.
Minwook ShinCollege of Pharmacy, Research Institute of PharmaceuticalSciences, and Drug Information Research Institute, Sookmyung Women's University, Seoul, 04310, Republic of Korea. shin@sookmyung.ac.kr.
Sukjoon YoonResearch Institute of Women's Health, Sookmyung Women's University, Seoul, 04310, Republic of Korea. yoonsj@sookmyung.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQStrain is an integrated resource platform designed to facilitate viral genome analysis and the rational design of nucleic acid therapeutics.

resultsThe system integrates reference-guided multiple sequence alignment of high-risk viral pathogens, including Severe Acute Respiratory Syndrome Coronavirus 2, Lassa virus, Severe Fever with Thrombocytopenia Syndrome virus, Middle East Respiratory Syndrome Coronavirus, Influenza A virus subtype H5N1 and H7N9, Nipah virus, Respiratory Syncytial Virus, and Dengue virus, with a growing database of viral genomes. QStrain provides versatile visualization modules such as frequency profiles, conservation scores, RNA expression patterns, and phylogenetic trees to enhance the interpretation of viral sequence variation. By identifying highly conserved genomic regions, QStrain supports the prediction of candidate therapeutic targets and enables the automated design of small interfering RNA (siRNA) and antisense oligonucleotides (ASOs). Additional features include off-target searching and 2D structure viewing for comprehensive assessment of therapeutic potential.

conclusionsUltimately, QStrain ( https://qstrain.sookmyung.ac.kr ) provides a critical, user-friendly framework to accelerate the design pipeline of nucleic acid-based therapies, enhancing preparedness against current and future viral outbreaks.

Indexed as

Genome, ViralGenomicsSoftwareComputational BiologyOligonucleotides, AntisenseRNA, Small InterferingOligonucleotides, AntisenseRNA, Small InterferingAntisense oligonucleotides (ASOs)Conserved regionsNucleic acid therapeuticsOff-target predictionSmall interfering RNA (siRNA)Viral genome analysis

Identifiers

PMID41963783
PMCPMC13185203

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.