PDB-IHM: A System for Deposition, Curation, Validation, and Dissemination of Integrative Structures

Structures of many large biomolecular assemblies are now being determined using integrative approaches. In these approaches, information derived from multiple experimental and computational methods is combined to compute three-dimensional structures of multi-protein complexes and other macromolecular machines. A standalone prototype data resource for integrative structures called PDB-Dev was built, based on recommendations of the Integrative and Hybrid Methods (IHM) Task Force of the Worldwide Protein Data Bank (wwPDB). This effort included developing data standards and software tools for collecting, curating, validating, visualizing, archiving, and disseminating integrative structures that span diverse spatiotemporal scales and conformational states. Mechanisms have been created to validate integrative structures based on the experimental data underpinning them. Building upon this foundational framework, PDB-Dev has been further expanded to handle large dynamic macromolecular systems and integrative structures that combine, for example, experimental restraints with atomic coordinates computed by machine learning algorithms. Data standards and supporting tools have also been extended to capture information about biomolecular dynamics, such as conformational transitions and related kinetic data derived from biophysical methods. Recently, PDB-Dev was unified with the PDB archive and rebranded as PDB-IHM (pdb-ihm.org), further promoting FAIR (Findable, Accessible, Interoperable, and Reusable) principles of data stewardship for integrative structural biology.

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Publication Details

Journal
Journal of Molecular Biology
Published
2025-01-27
DOI
https://doi.org/10.1016/j.jmb.2025.168963
Citations
8
Primary Topic
Enzyme Structure and Function
Type
article
Field-Weighted Citation Impact
4.14

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article

PDB-IHM: A System for Deposition, Curation, Validation, and Dissemination of Integrative Structures

Hongsuda Tangmunarunkit, Arthur O. Zalevsky, Benjamin Webb, Kyle L. Morris et al.
8 citations
Journal of Molecular Biology
Enzyme Structure and Function
4.14
article

PDB-IHM: A System for Deposition, Curation, Validation, and Dissemination of Integrative Structures

Hongsuda Tangmunarunkit, Arthur O. Zalevsky, Benjamin Webb, Kyle L. Morris, Genji Kurisu, Andrej Săli, Jared Sagendorf, Brinda Vallat, Sameer S Velankar, Serban Voinea, Jeffrey C. Hoch, S.K. Burley, Helen M. Berman, Monica R. Sekharan, Carl Kesselman, Aref Shafaeibejestan
article en
8 citations

Abstract

Structures of many large biomolecular assemblies are now being determined using integrative approaches. In these approaches, information derived from multiple experimental and computational methods is combined to compute three-dimensional structures of multi-protein complexes and other macromolecular machines. A standalone prototype data resource for integrative structures called PDB-Dev was built, based on recommendations of the Integrative and Hybrid Methods (IHM) Task Force of the Worldwide Protein Data Bank (wwPDB). This effort included developing data standards and software tools for collecting, curating, validating, visualizing, archiving, and disseminating integrative structures that span diverse spatiotemporal scales and conformational states. Mechanisms have been created to validate integrative structures based on the experimental data underpinning them. Building upon this foundational framework, PDB-Dev has been further expanded to handle large dynamic macromolecular systems and integrative structures that combine, for example, experimental restraints with atomic coordinates computed by machine learning algorithms. Data standards and supporting tools have also been extended to capture information about biomolecular dynamics, such as conformational transitions and related kinetic data derived from biophysical methods. Recently, PDB-Dev was unified with the PDB archive and rebranded as PDB-IHM (pdb-ihm.org), further promoting FAIR (Findable, Accessible, Interoperable, and Reusable) principles of data stewardship for integrative structural biology.

Journal of Molecular BiologyVol. 437(15)
Rutgers, The State University of New Jersey (US), QB3 (US), University of Southern California (US), European Bioinformatics Institute (GB), Protein Research Foundation (JP), Resonance Research (United States) (US), The University of Osaka (JP)
National Science Foundation, U.S. Department of Energy, National Institutes of Health
Openalex Percentile: Top 6%
Enzyme Structure and Function
4.14
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