Evidence map›Paper›PMID 41933929›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

INB

Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

12 authors.

Jingwei LvSchool of Computer Science and Technology, Hainan University, Haikou, China.ORCID https://orcid.org/0009-0008-4709-9462
Qianyang WuSchool of Computer Science and Technology, Hainan University, Haikou, China.
Jian LiuSchool of Computer Science and Technology, Hainan University, Haikou, China.
Binlu YangSchool of Computer Science and Technology, Hainan University, Haikou, China.
Yuanhao LiSchool of Computer Science and Technology, Hainan University, Haikou, China.
Junlin XuSchool of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China.
Yajie MengSchool of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan, Hubei, China.
Leyi WeiCentre For Artificial Intelligence-Driven Drug Discovery, Faculty of Applied Science, Macao Polytechnic University, Macao, SAR, China.
Zilong ZhangSchool of Computer Science and Technology, Hainan University, Haikou, China.
Quan ZouInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.
Xiulai LiSchool of Computer Science and Technology, Hainan University, Haikou, China.
Feifei CuiSchool of Computer Science and Technology, Hainan University, Haikou, China.ORCID https://orcid.org/0000-0001-7055-3813

Funding

National Natural Science Foundation of China 62450002 62572156Science and Technology Development Fund of Macau 0177/2023/RIA3
6 · The paper itself

Abstract

Functional peptide discovery, particularly for blood-brain barrier-penetrating peptides (BBBPPs), is strictly limited by extreme data scarcity and the "black-box" nature of deep learning. Here, INB

Indexed as

Blood-Brain BarrierCell-Penetrating PeptidesDeep LearningHumansCell-Penetrating Peptidescns drug deliverycontrastive learninginterpretabilitymulti‐modal deep learningphysicochemical‐guided augmentation

Identifiers

PMID41933929
PMCPMC13285127

What OpenQuestion 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 OpenQuestion graph.