Evidence map›Paper›PMID 40698170›Full record

ArticleChemical science2025

Data-driven discovery of near-infrared type I photosensitizers for RNA-targeted tumor photodynamic therapy.

Wen Chen, Xiao-Qiong Mao, Xiao-Zhi Wang, Ya-Cong Liao, Xiao-Yue Yin, Hai-Long Wu, Tai-Yi Chen, Meng-Qing Liu, Tong Wang, Ru-Qin Yu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Chemical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
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.

Wen ChenKey Laboratory of Functional Organometallic Materials of College of Hunan Province, College of Chemistry and Materials Science, Hengyang Normal University Hengyang 421008 P. R. China wenchen@hnu.edu.cn.ORCID https://orcid.org/0000-0002-4668-6322
Xiao-Qiong MaoKey Laboratory of Functional Organometallic Materials of College of Hunan Province, College of Chemistry and Materials Science, Hengyang Normal University Hengyang 421008 P. R. China wenchen@hnu.edu.cn.
Xiao-Zhi WangState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University Changsha 410082 P. R. China wangtong@hnu.edu.cn.
Ya-Cong LiaoDepartment of Ultrasound Diagnosis, The Second Xiangya Hospital, Central South University Changsha 410011 P. R. China.
Xiao-Yue YinState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University Changsha 410082 P. R. China wangtong@hnu.edu.cn.
Hai-Long WuState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University Changsha 410082 P. R. China wangtong@hnu.edu.cn.ORCID https://orcid.org/0000-0003-4483-2557
Tai-Yi ChenKey Laboratory of Functional Organometallic Materials of College of Hunan Province, College of Chemistry and Materials Science, Hengyang Normal University Hengyang 421008 P. R. China wenchen@hnu.edu.cn.
Meng-Qing LiuKey Laboratory of Functional Organometallic Materials of College of Hunan Province, College of Chemistry and Materials Science, Hengyang Normal University Hengyang 421008 P. R. China wenchen@hnu.edu.cn.
Tong WangState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University Changsha 410082 P. R. China wangtong@hnu.edu.cn.ORCID https://orcid.org/0000-0002-5062-6103
Ru-Qin YuState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University Changsha 410082 P. R. China wangtong@hnu.edu.cn.ORCID https://orcid.org/0000-0001-9440-8899

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type I photodynamic therapy (PDT) offers a promising solution for treating tumors with inherent hypoxia, but developing near-infrared (NIR) type I photosensitizers (PSs) remains a significant challenge. In this work, we propose a data-driven multi-stage screening workflow to rapidly discover novel type I PSs for RNA-targeted tumor PDT. Two custom-built databases were developed: one for training a type I PS identification model (1-PS-GCN) and the other for artificial intelligence (AI)-assisted multi-stage screening. The top 10 candidates with potential type I photosensitizing properties, high synthetic accessibility and RNA-targeting capability were identified. Experts and AI reached a consensus to select the most promising type I PS (PYD). Ultimately, PYD was synthesized and its properties were verified through spectral, cellular, and

Identifiers

PMID40698170
PMCPMC12278499

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.