Archiving and disseminating integrative structure models.

Deposition Hybrid modeling Integrative modeling Model validation PDB mmCIF dictionary

Journal

Journal of biomolecular NMR
ISSN: 1573-5001
Titre abrégé: J Biomol NMR
Pays: Netherlands
ID NLM: 9110829

Informations de publication

Date de publication:
Jul 2019
Historique:
received: 06 02 2019
accepted: 25 06 2019
pubmed: 7 7 2019
medline: 7 1 2020
entrez: 7 7 2019
Statut: ppublish

Résumé

Limitations in the applicability, accuracy, and precision of individual structure characterization methods can sometimes be overcome via an integrative modeling approach that relies on information from all available sources, including all available experimental data and prior models. The open-source Integrative Modeling Platform (IMP) is one piece of software that implements all computational aspects of integrative modeling. To maximize the impact of integrative structures, the coordinates should be made publicly available, as is already the case for structures based on X-ray crystallography, NMR spectroscopy, and electron microscopy. Moreover, the associated experimental data and modeling protocols should also be archived, such that the original results can easily be reproduced. Finally, it is essential that the integrative structures are validated as part of their publication and deposition. A number of research groups have already developed software to implement integrative modeling and have generated a number of structures, prompting the formation of an Integrative/Hybrid Methods Task Force. Following the recommendations of this task force, the existing PDBx/mmCIF data representation used for atomic PDB structures has been extended to address the requirements for archiving integrative structural models. This IHM-dictionary adds a flexible model representation, including coarse graining, models in multiple states and/or related by time or other order, and multiple input experimental information sources. A prototype archiving system called PDB-Dev ( https://pdb-dev.wwpdb.org ) has also been created to archive integrative structural models, together with a Python library to facilitate handling of integrative models in PDBx/mmCIF format.

Identifiants

pubmed: 31278630
doi: 10.1007/s10858-019-00264-2
pii: 10.1007/s10858-019-00264-2
pmc: PMC6692293
doi:

Substances chimiques

Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

385-398

Subventions

Organisme : NIH HHS
ID : U54DK107981
Pays : United States
Organisme : National Science Foundation
ID : DBI-1519158
Organisme : NIGMS NIH HHS
ID : P41 GM109824
Pays : United States
Organisme : NIH HHS
ID : P01AG002132
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG002132
Pays : United States
Organisme : NIDDK NIH HHS
ID : U54 DK107981
Pays : United States
Organisme : NIH HHS
ID : R01GM083960
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM083960
Pays : United States
Organisme : National Science Foundation
ID : DBI-1756248
Organisme : National Science Foundation
ID : DBI-1756250
Organisme : NIH HHS
ID : P41GM109824
Pays : United States

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Auteurs

Brinda Vallat (B)

Institute for Quantitative Biomedicine, Piscataway, USA.

Benjamin Webb (B)

Department of Bioengineering and Therapeutic Sciences, University of California at San Francisco, San Francisco, CA, 94143, USA.

John Westbrook (J)

Institute for Quantitative Biomedicine, Piscataway, USA.
RCSB Protein Data Bank, Piscataway, USA.

Andrej Sali (A)

RCSB Protein Data Bank, Piscataway, USA. sali@salilab.org.
Department of Bioengineering and Therapeutic Sciences, University of California at San Francisco, San Francisco, CA, 94143, USA. sali@salilab.org.
Department of Pharmaceutical Chemistry and California Institute for Quantitative Biosciences, University of California at San Francisco, San Francisco, CA, 94143, USA. sali@salilab.org.
Lead Contacts, San Francisco, USA. sali@salilab.org.

Helen M Berman (HM)

Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA. berman@rcsb.rutgers.edu.
Lead Contacts, Piscataway, USA. berman@rcsb.rutgers.edu.

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Classifications MeSH