Evidence mapPaperPMID 42517697Full record

ArticleProtein science : a publication of the Protein Society2026

RCSB protein data Bank: Next-generation advanced search for exploration of experimental structures and computed structure models.

Yana Rose, Ronald Brown, Maria Voigt, Charmi Bhikadiya, Sebastian Bittrich, Jose M Duarte, Joan Segura, Rachel Kramer Green, Stephen K Burley

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Yana RoseResearch Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center; University of California, La Jolla, California, USA.ORCID https://orcid.org/0000-0003-1018-5718
Ronald BrownResearch Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
Maria VoigtResearch Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
Charmi BhikadiyaResearch Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center; University of California, La Jolla, California, USA.
Sebastian BittrichResearch Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center; University of California, La Jolla, California, USA.
Jose M DuarteResearch Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center; University of California, La Jolla, California, USA.
Joan SeguraResearch Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center; University of California, La Jolla, California, USA.
Rachel Kramer GreenResearch Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
Stephen K BurleyResearch Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center; University of California, La Jolla, California, USA.

Funding

PDB Management by the Research Collaboratory for Structural BioinformaticsR01GM157729 · RUTGERS, THE STATE UNIV OF N.J. · 2025 to 2025
$3.9M
National Science Foundation DBI-2321666NIH HHS R01GM157729U.S. Department of Energy DE-SC0019749
6 · The paper itself

Abstract

The Protein Data Bank (PDB), established in 1971, is the primary global, open-access archive for experimentally determined 3D macromolecular structures (proteins, RNA, DNA). The research-focused RCSB.org web-portal provides access to these data alongside more than one million machine-learning-predicted structure models, greatly expanding the available structural landscape. Rapid growth of both experimental and computational structures has increased the need for powerful yet accessible search tools that serve a broad and diverse scientific community. Herein, we describe a redesigned RCSB Protein Data Bank RCSB.org Advanced Search capability that supports intuitive discovery of 3D structures through a unified interface. This interface integrates annotation-, sequence-, and 3D structure-based searches, embeds an interactive 3D viewer, and incorporates curated biological knowledge, such as catalytic site definitions from Mechanism and Catalytic Site Atlas and ligand-guided structural motifs, for constructing geometry-driven queries. A new Chemical Search tool allows definition of chemical queries via an integrated drawing tool or standard identifiers, seamlessly combining them with annotation filters. By allowing query definition directly within spatial and chemical contexts, these search interfaces reduce the need for detailed knowledge of residue numbering, chain identifiers, or external cheminformatics software. This capability enables efficient exploration of structures, chemical diversity, and structure-function relationships across all life domains. The redesigned interfaces can be accessed directly at rcsb.org/search/advanced for Advanced Search and rcsb.org/search/chemical for Chemical Search.

Indexed as

Databases, ProteinModels, MolecularProteinsSoftwareInternetProtein ConformationProteinschemical structure searchmacromolecular structureProtein Data Bank (PDB)structural bioinformaticsstructure similarity search

Identifiers

PMID42517697
PMCPMC13410952

What Socratic 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 Socratic graph.