Evidence map›Paper›PMID 40963436›Full record

ArticlemAbs2025

Exploring the nanobody patent landscape: a focus on BCMA sequences and structural analysis.

Jiaqi Xu, Yan Wang, Ni Yuan, Guang Hu, Yuanjia Hu

Abstract read
In one paragraph

Article in mAbs, 2025. 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

5 authors.

Jiaqi XuState Key Laboratory of Mechanism and Quality of Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China.
Yan WangState Key Laboratory of Mechanism and Quality of Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China.
Ni YuanSchool of Public Health, Dalian Medical University, Dalian, China.
Guang HuSchool of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing, China.
Yuanjia HuState Key Laboratory of Mechanism and Quality of Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China.ORCID 0000-0001-5244-8577

Funding

Science and Technology Development Fund of Macau SAR 0049/2024/AGJScience and Technology Development Fund of Macau SAR 005/2023/SKLScience and Technology Development Fund of Macau SAR SKL-QRCM(UM)-2023-2025University of Macau MYRG-CRG2023-00007-ICMS-IASUniversity of Macau MYRG-GRG2024-00268-ICMS
6 · The paper itself

Abstract

Nanobodies (Nbs) are antigen-binding fragments derived from unique heavy-chain-only antibodies. In recent years, the development of Nbs has progressed rapidly due to their therapeutic potential. Here we present a comprehensive patent landscape of Nb technologies, focusing on uncovering innovation trends, identifying novel drug candidates, and analyzing opportunities and challenges for research, development, and commercialization. Using B-cell maturation antigen (BCMA) as an example drug target, we summarize the features, physicochemical properties, modification sites, and epitope-binding tendencies of patented sequences of Nb drugs, highlighting the importance of structural-level patent protection, and offering a theoretical foundation for Nb design and experimental validation. Through patent landscape and patent sequence analysis, our study provides valuable insights for Nb drug development and supports decision-making in patent strategy.

Indexed as

B-Cell Maturation AntigenPatents as TopicSingle-Domain AntibodiesAnimalsHumansB-Cell Maturation AntigenSingle-Domain AntibodiesB-cell maturation antigen (BCMA)biologicsnanobody (Nb)patent analysissequence analysissingle-domain antibody

Identifiers

PMID40963436
PMCPMC12452430

What OpenQuestion holds

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LicenceCC BY-NC
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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.