DeepBBB: A Data-Composition-Aware Graph Screening Workflow for BBB-Focused CNS Library Construction and Prospective PAMPA-BBB Evaluation.

Ziying Xu, Wei Xia, Haiqiang Wu, Haiping Zhang

Abstract read

In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 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

4 authors.

Ziying XuSchool of Pharmacy, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China.

Wei XiaDepartment of Chemistry, New York University, New York, NY 10003, USA.ORCID 0009-0003-6735-8701

Haiqiang WuSchool of Pharmacy, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China.ORCID 0000-0003-3979-7304

Haiping ZhangFaculty of Pharmaceutical Sciences, Shenzhen University of Advanced Technology, Shenzhen 518055, China.ORCID 0000-0003-2133-1768

Funding

National Natural Science Foundation of China 52273299National Natural Science Foundation of China 52573336Shenzhen Medical Research Fund B2404003Shenzhen Medical Research Fund D2403008Shenzhen Science and Technology Program JCYJ20220818100804009Shenzhen Science and Technology Program KCXFZ20230731092802004

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

BBB-focused libraryblood–brain barrierclass imbalanceCNS drug discoverygraph neural networksPAMPA-BBBvirtual screening

Identifiers

PMID42653814

DOI10.3390/ph19081319

PMCPMC13516556

What OpenQuestion holds

Textmetadata

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.