Evidence map›Paper›PMID 41421450›Full record

ArticleJournal of molecular biology2026

IHMValidation: Assessment of Integrative Structure Models Deposited to the Protein Data Bank.

Arthur O Zalevsky, Brinda Vallat, Benjamin M Webb, Hongsuda Tangmunarunkit, Monica R Sekharan, Aref Shafaeibejestan, Sai Ganesan, Jared Sagendorf, Cy M Jeffries, Jill Trewhella and 17 more

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Article in Journal of molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

27 authors.

Arthur O ZalevskyResearch Collaboratory for Structural Bioinformatics Protein Data Bank, Department of Bioengineering and Therapeutic Sciences, the Quantitative Biosciences Institute (QBI), and the Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94157, USA. Electronic address: arthur.zalevsky@rcsb.org.
Brinda VallatResearch Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Rutgers Cancer Institute, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA. Electronic address: brinda.vallat@rcsb.org.
Benjamin M WebbResearch Collaboratory for Structural Bioinformatics Protein Data Bank, Department of Bioengineering and Therapeutic Sciences, the Quantitative Biosciences Institute (QBI), and the Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94157, USA.
Hongsuda TangmunarunkitInformation Sciences Institute, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
Monica R SekharanResearch Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Aref ShafaeibejestanInformation Sciences Institute, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
Sai GanesanResearch Collaboratory for Structural Bioinformatics Protein Data Bank, Department of Bioengineering and Therapeutic Sciences, the Quantitative Biosciences Institute (QBI), and the Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94157, USA.
Jared SagendorfResearch Collaboratory for Structural Bioinformatics Protein Data Bank, Department of Bioengineering and Therapeutic Sciences, the Quantitative Biosciences Institute (QBI), and the Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94157, USA.
Cy M JeffriesEuropean Molecular Biology Laboratory, Hamburg Unit, c/o Deutsches Elektronen-Synchrotron, Notkestraße 85, 22607 Hamburg, Germany; Ilse Katz Institute for Nanoscale Science and Technology, Ben-Gurion University of the Negev, Be'er Sheva 8410501, Israel.
Jill TrewhellaSchool of Life and Environmental Sciences, University of Sydney, NSW 2006, Australia; Department of Chemistry, University of Utah, Salt Lake City, UT 84112, USA.
Andrea GraziadeiHuman Technopole, Via Rita Levi Montalcini 1, 20157 Milano, Italy.
Juan Antonio VizcaínoEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust, Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Alexander LeitnerInstitute of Molecular Systems Biology, Department of Biology, ETH Zürich, 8093 Zurich, Switzerland.
Juri RappsilberTechnische Universität Berlin, Chair of Bioanalytics, 10623 Berlin, Germany; Si-M/""Der Simulierte Mensch"", a Science Framework of Technische Universität Berlin and Charité - Universitätsmedizin Berlin, Berlin, Germany.
Ezra PeisachResearch Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Justin W FlattResearch Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Jasmine Y YoungResearch Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Kartik MajilaNational Center for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, Karnataka 560065, India.
Shruthi ViswanathNational Center for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, Karnataka 560065, India.
Carl KesselmanInformation Sciences Institute, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
Jeffrey C HochBiological Magnetic Resonance Data Bank, Department of Molecular Biology and Biophysics, University of Connecticut, Farmington, CT 06030-3305, USA.
Genji KurisuProtein Data Bank Japan, Institute for Protein Research, Osaka University, Suita, Osaka 565-0871, Japan.
Kyle L MorrisElectron Microscopy Data Bank, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, UK.
Sameer VelankarProtein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, UK.
Helen M BermanResearch Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
Stephen K BurleyResearch Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Rutgers Cancer Institute, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA; Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, La Jolla, CA 92093, USA; Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Andrej SaliResearch Collaboratory for Structural Bioinformatics Protein Data Bank, Department of Bioengineering and Therapeutic Sciences, the Quantitative Biosciences Institute (QBI), and the Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94157, USA. Electronic address: sali@salilab.org.

Funding

TR&D Project 4. The Imaging Stage: Multiscale Spatiotemporal Modeling of Macromolecular Systems in Cellular NeighborhoodsP41GM109824 · NIGMS · ROCKEFELLER UNIVERSITY · PI ROUT, MICHAEL P · 2014 to 2023
$18.8M
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
IMP: Software for Hybrid Determination of Macromolecular Assembly StructuresR01GM083960 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SALI, ANDREJ · 2008 to 2024
$5.2M
NIGMS NIH HHS P41 GM109824NIGMS NIH HHS R01 GM083960NIGMS NIH HHS R01 GM157729
6 · The paper itself

Abstract

PDB-IHM is a branch of the Protein Data Bank (PDB), a Worldwide Protein Data Bank (wwPDB) Core Archive, that expands its scope by allowing for additional biomolecular structure representations and types of experimental information (i.e., integrative/hybrid structure models). As of October 2025, PDB-IHM contained 374 entries, benefitting from multi-scale and multi-state representations and 17 types of experimental data. These structure models are assigned PDB accession codes and are archived alongside other experimental structures in the PDB. Rigorous interpretation of a structure model requires assessment of underlying data quality, consistency with the input data, and estimates of positional uncertainty of its components. Herein, we present the IHMValidation pipeline (https://validate.pdb-ihm.org; https://github.com/salilab/IHMValidation) based on recommendations from the wwPDB Integrative Methods Task Force plus the small-angle scattering (SAS), chemical crosslinking mass spectrometry (crosslinking-MS), and cryo-electron microscopy and tomography (3DEM) communities. The IHMValidation report (available in both PDF and HTML formats) comprises six sections: (i) overview; (ii) model details; (iii) data quality assessments; (iv) local geometry assessments (i.e., model quality); (v) fit of the model to the data used to generate it; and (vi) fit of the model to the data used for validation. Future expansions of the IHMValidation pipeline will: (i) reflect recommendations coming from additional experimental communities, including Förster resonance energy transfer (FRET) and hydrogen/deuterium exchange MS (HDX-MS); (ii) include other validation criteria, such as Bayesian likelihoods for the data; and (iii) represent estimates of structure model uncertainty based on the variation among alternative models satisfying input data.

Indexed as

Databases, ProteinModels, MolecularProteinsCryoelectron MicroscopyMass SpectrometryProtein ConformationSoftwareProteinscrosslinking mass spectrometry (crosslinking-MS)integrative modelingProtein Data Bank (PDB)Small-angle X-ray scattering (SAXS)three-dimensional cryo-electron microscopy (3DEM)

Identifiers

PMID41421450
PMCPMC13126976

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