Evidence map›Paper›PMID 40099807›Full record

ArticleProtein science : a publication of the Protein Society2025

Visualizing and analyzing 3D biomolecular structures using Mol* at RCSB.org: Influenza A H5N1 virus proteome case study.

Sebastian Bittrich, Alexander S Rose, David Sehnal, Jose M Duarte, Yana Rose, Joan Segura, Dennis W Piehl, Brinda Vallat, Chenghua Shao, Charmi Bhikadiya and 5 more

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 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. Article
  2. 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

15 authors.

Sebastian BittrichResearch Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California San Diego, La Jolla, California, USA.ORCID 0000-0003-3576-0387
Alexander S RoseMol* Consortium, San Diego, California, USA.ORCID 0000-0002-0893-5551
David SehnalNational Centre for Biomolecular Research, Faculty of Science, Masaryk University, Brno, Czech Republic.ORCID 0000-0002-0682-3089
Jose M DuarteResearch Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-9544-5621
Yana RoseResearch Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California San Diego, La Jolla, California, USA.ORCID 0000-0003-1018-5718
Joan SeguraResearch Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California San Diego, La Jolla, California, USA.ORCID 0000-0001-5593-735X
Dennis W PiehlResearch Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.ORCID 0000-0002-8315-2899
Brinda VallatResearch Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.ORCID 0000-0002-4076-8984
Chenghua ShaoResearch Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.ORCID 0000-0001-6817-7476
Charmi BhikadiyaResearch Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-1587-5139
Jesse LiangResearch Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California San Diego, La Jolla, California, USA.
Mark MaResearch Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California San Diego, La Jolla, California, USA.
David S GoodsellResearch Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.ORCID 0000-0002-5932-2130
Stephen K BurleyResearch Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-2487-9713
Shuchismita DuttaResearch Collaboratory for Structural Bioinformatics Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.ORCID 0000-0002-2109-5411

Funding

PDB Management by the Research Collaboratory for Structural BioinformaticsR01GM157729 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI STEPHEN K BURLEY · 2024 to 2026
$11.6M
UNC Initiative for Maximizing Student DevelopmentT32GM152779 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FREEMAN, ASHALLA MAGEE, KASH, THOMAS L. · 2024 to 2025
$1.2M
Biotechnology and Biological Sciences Research Council BB/V004247/1Biotechnology and Biological Sciences Research Council BB/W017970/1Czech Science Foundation 22-30571MNational Science Foundation DBI-2019297National Science Foundation DBI-2129634National Science Foundation DBI-2321666NIGMS NIH HHS R01 GM157729NIGMS NIH HHS T32 GM152779NIH HHS R01GM152779U.S. Department of Energy DE-SC0019749
6 · The paper itself

Abstract

The easiest and often most useful way to work with experimentally determined or computationally predicted structures of biomolecules is by viewing their three-dimensional (3D) shapes using a molecular visualization tool. Mol* was collaboratively developed by RCSB Protein Data Bank (RCSB PDB, RCSB.org) and Protein Data Bank in Europe (PDBe, PDBe.org) as an open-source, web-based, 3D visualization software suite for examination and analyses of biostructures. It is capable of displaying atomic coordinates and related experimental data of biomolecular structures together with a variety of annotations, facilitating basic and applied research, training, education, and information dissemination. Across RCSB.org, the RCSB PDB research-focused web portal, Mol* has been implemented to support single-mouse-click atomic-level visualization of biomolecules (e.g., proteins, nucleic acids, carbohydrates) with bound cofactors, small-molecule ligands, ions, water molecules, or other macromolecules. RCSB.org Mol* can seamlessly display 3D structures from various sources, allowing structure interrogation, superimposition, and comparison. Using influenza A H5N1 virus as a topical case study of an important pathogen, we exemplify how Mol* has been embedded within various RCSB.org tools-allowing users to view polymer sequence and structure-based annotations integrated from trusted bioinformatics data resources, assess patterns and trends in groups of structures, and view structures of any size and compositional complexity. In addition to being linked to every experimentally determined biostructure and Computed Structure Model made available at RCSB.org, Standalone Mol* is freely available for visualizing any atomic-level or multi-scale biostructure at rcsb.org/3d-view.

Indexed as

Influenza A Virus, H5N1 SubtypeProteomeSoftwareViral ProteinsDatabases, ProteinInternetModels, MolecularProtein ConformationProteomeViral Proteins3D biostructureglobal healthinfluenza A H5N1 virusmolecular visualizationopen‐sourcepandemic preparednessProtein Data Bankviral pathogenvirus life cycleweb‐based

Identifiers

PMID40099807
PMCPMC11915458

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.