Evidence map›Paper›PMID 42125064›Full record

ReviewBeilstein journal of organic chemistry2026

Advantages of PROTACs in achieving selective degradation of homologous protein families.

Luxi Yang, Xinfei Mao, Jingyi Zhang, Jing Shu, Wenhai Huang, Xiaowu Dong, Yinqiao Chen, Mingfei Wu

Abstract readReview
In one paragraph

Review in Beilstein journal of organic chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Luxi Yang *Affiliated Yongkang First People's Hospital, School of Pharmaceutical Sciences, Hangzhou Medical College, Zhejiang, Hangzhou, 311399, China.
Xinfei Mao *College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
Jingyi ZhangAffiliated Yongkang First People's Hospital, School of Pharmaceutical Sciences, Hangzhou Medical College, Zhejiang, Hangzhou, 311399, China.
Jing ShuAffiliated Yongkang First People's Hospital, School of Pharmaceutical Sciences, Hangzhou Medical College, Zhejiang, Hangzhou, 311399, China.
Wenhai HuangAffiliated Yongkang First People's Hospital, School of Pharmaceutical Sciences, Hangzhou Medical College, Zhejiang, Hangzhou, 311399, China.
Xiaowu DongCollege of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
Yinqiao ChenAffiliated Yongkang First People's Hospital, School of Pharmaceutical Sciences, Hangzhou Medical College, Zhejiang, Hangzhou, 311399, China.
Mingfei WuAffiliated Yongkang First People's Hospital, School of Pharmaceutical Sciences, Hangzhou Medical College, Zhejiang, Hangzhou, 311399, China.ORCID https://orcid.org/0000-0002-5051-5788

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteolysis-targeting chimeras (PROTACs) have emerged as a promising therapeutic modality and now represent an important addition to the toolkit of medicinal chemists. Compared with conventional small-molecule inhibitors, PROTACs exhibit notable advantages, particularly in achieving selectivity within highly homologous proteins. The ability to discriminate among members of such families holds broad implications for future disease treatment. In this review, we primarily summarize the advantages of PROTACs in conferring selectivity toward highly homologous proteins. This focus will provide a feasible strategy for developing PROTACs that selectively target highly homologous proteins and will ultimately support future therapeutic applications.

Indexed as

homologous proteinPROTACprotein–protein interactionselectivityubiquitination

Identifiers

PMID42125064
PMCPMC13159260

What OpenQuestion holds

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LicenceCC BY
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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.