Evidence mapPaperPMID 41074841Full record

ArticleJournal of chemical information and modeling2025

State-Specific Peptide Design Targeting G Protein-Coupled Receptors.

Yang Xue, Hong Wang, Jun Li, Jianguo Hu, Zhiyuan Chen, Zhi Zheng, Lihang Liu, Kunrui Zhu, Jingzhou He, Huanzhang Gong and 3 more

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2025. 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

13 authors.

Yang XueBaidu Inc. NLP, Shenzhen 518000, China.
Hong WangZonsen PepLib Biotech Inc., Zhuzhou 412000, China.
Jun LiBaidu Inc. NLP, Shenzhen 518000, China.
Jianguo HuZonsen PepLib Biotech Inc., Zhuzhou 412000, China.
Zhiyuan ChenBaidu Inc. NLP, Shenzhen 518000, China.
Zhi ZhengZonsen PepLib Biotech Inc., Zhuzhou 412000, China.
Lihang LiuBaidu Inc. NLP, Shenzhen 518000, China.
Kunrui ZhuBaidu Inc. NLP, Shenzhen 518000, China.
Jingzhou HeBaidu Inc. NLP, Shenzhen 518000, China.
Huanzhang GongZonsen PepLib Biotech Inc., Zhuzhou 412000, China.
Xiangqun LiZonsen PepLib Biotech Inc., Zhuzhou 412000, China.
Xiaonan ZhangBaidu Inc. NLP, Shenzhen 518000, China.
Xiaomin FangBaidu Inc. NLP, Shenzhen 518000, China.ORCID 0000-0002-7563-5268

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) play critical roles in various physiological processes and serve as pivotal targets for drug discovery. Peptides are particularly compelling therapeutic agents for targeting GPCRs as they frequently exhibit superior affinity, selectivity, and potency compared with small-molecule drugs. However, the states (active and inactive) of GPCRs profoundly influence their interactions with ligands, highlighting the need for state-specific strategies in peptide design. To address this, we developed an efficient, state-specific peptide design pipeline targeting GPCRs. This framework enables the tailored design of agonists or antagonists based on the active or inactive conformational states of GPCR structures. A state-specific folding model optimized for GPCR-peptide complexes was used to select high-potential peptides from the pool of designed candidates. Using this approach, we successfully identified both agonist and antagonist peptides for the Apelin Receptor (APJR) and the Growth Hormone Secretagogue Receptor (GHSR) as well as a competitive inhibitor for the Glucagon-Like Peptide-1 Receptor (GLP-1R).

Indexed as

Drug DesignPeptidesReceptors, G-Protein-CoupledApelin ReceptorsGlucagon-Like Peptide-1 ReceptorHumansLigandsModels, MolecularProtein ConformationApelin ReceptorsGlucagon-Like Peptide-1 ReceptorLigandsPeptidesReceptors, G-Protein-Coupled

Identifiers

PMID41074841
PMCPMC12570140

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.