Evidence map›Paper›PMID 39969112›Full record

ArticleProtein science : a publication of the Protein Society2025

Protein Data Bank Japan: Improved tools for sequence-oriented analysis of protein structures.

Gert-Jan Bekker, Chioko Nagao, Matsuyuki Shirota, Tsukasa Nakamura, Toshiaki Katayama, Daisuke Kihara, Kengo Kinoshita, Genji Kurisu

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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  9. Protein Data Bank Japan: Improved tools for sequence-oriented analysis of protein structures.Protein science : a publication of the Protein Society · 2025
    Article
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.

Gert-Jan BekkerInstitute for Protein Research, Osaka University, Suita, Japan.ORCID 0000-0001-8385-5693
Chioko NagaoInstitute for Protein Research, Osaka University, Suita, Japan.ORCID 0000-0002-7721-0642
Matsuyuki ShirotaTohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.ORCID 0000-0002-7776-9964
Tsukasa NakamuraDepartment of Biological Sciences, Purdue University, West Lafayette, Indiana, USA.ORCID 0000-0002-6312-3070
Toshiaki KatayamaInstitute for Protein Research, Osaka University, Suita, Japan.ORCID 0000-0003-2391-0384
Daisuke KiharaInstitute for Protein Research, Osaka University, Suita, Japan.ORCID 0000-0003-4091-6614
Kengo KinoshitaTohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.ORCID 0000-0003-3453-2171
Genji KurisuInstitute for Protein Research, Osaka University, Suita, Japan.ORCID 0000-0002-5354-0807

Funding

Building protein structure models for intermediate resolution cryo-electron microscopy mapsR01GM133840 · NIGMS · PURDUE UNIVERSITY · PI KIHARA, DAISUKE · 2020 to 2023
$1.6M
Japan Agency for Medical Research and Development JP23ama121019Japan Agency for Medical Research and Development JP24ama121001Japan Society for the Promotion of Science JP20H03229Japan Society for the Promotion of Science JP21K17847National Bioscience Database Center JPMJND2205NIGMS NIH HHS R01 GM133840NIH HHS R01GM133840
6 · The paper itself

Abstract

Protein Data Bank Japan (PDBj) is the Asian hub of three-dimensional macromolecular structure data, and a founding member of the worldwide Protein Data Bank. We have accepted, processed, and distributed experimentally determined biological macromolecular structures for over two decades. Although we collaborate with RCSB PDB and BMRB in the United States, PDBe and EMDB in Europe and recently PDBc in China for our data-in activities, we have developed our own unique services and tools for searching, exploring, visualizing and analyzing protein structures. We have recently introduced a new UniProt-integrated portal to provide users with a quick overview of their target protein and shows a recommended structure with integrated data from various internal and external resources. The portal page helps users identify known genomic variations of their protein of interest and provide insights into how these modifications might impact the structure, stability and dynamics of the protein. Furthermore, the portal page also helps users to select the optimal structure to use for further analysis. We have also introduced another service to explore proteins using experimental and computational approaches, which enables experimental structural biologists to increase their insight to help them to more efficiently design their experimental studies. With these new additions, we have enhanced our service portfolio to benefit both experimental and computational structural biologists in their search to interpret protein structures, their dynamics and function.

Indexed as

Databases, ProteinProteinsSequence Analysis, ProteinJapanProtein ConformationSoftwareProteinsBMRBEMDBPDBprotein structuresequence analysesUniProt

Identifiers

PMID39969112
PMCPMC11837027

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.