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IHMCIF: An Extension of the PDBx/mmCIF Data Standard for Integrative Structure Determination Methods.
Vallat, Brinda; Webb, Benjamin M; Westbrook, John D; Goddard, Thomas D; Hanke, Christian A; Graziadei, Andrea; Peisach, Ezra; Zalevsky, Arthur; Sagendorf, Jared; Tangmunarunkit, Hongsuda; Voinea, Serban; Sekharan, Monica; Yu, Jian; Bonvin, Alexander A M J J; DiMaio, Frank; Hummer, Gerhard; Meiler, Jens; Tajkhorshid, Emad; Ferrin, Thomas E; Lawson, Catherine L; Leitner, Alexander; Rappsilber, Juri; Seidel, Claus A M; Jeffries, Cy M; Burley, Stephen K; Hoch, Jeffrey C; Kurisu, Genji; Morris, Kyle; Patwardhan, Ardan; Velankar, Sameer; Schwede, Torsten; Trewhella, Jill; Kesselman, Carl; Berman, Helen M; Sali, Andrej.
Afiliación
  • Vallat B; Research Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA. El
  • Webb BM; Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, the Quantitative Biosciences Institute (QBI), and the Research Collaboratory for Structural Bioinformatics Protein Data Bank, University of California, San Francisco, San Francisco, CA 94157, USA.
  • Westbrook JD; Research Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA.
  • Goddard TD; Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA.
  • Hanke CA; Molecular Physical Chemistry, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany.
  • Graziadei A; Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 10623 Berlin, Germany; Human Technopole, 20157 Milan, Italy.
  • Peisach E; Research Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
  • Zalevsky A; Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, the Quantitative Biosciences Institute (QBI), and the Research Collaboratory for Structural Bioinformatics Protein Data Bank, University of California, San Francisco, San Francisco, CA 94157, USA.
  • Sagendorf J; Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, the Quantitative Biosciences Institute (QBI), and the Research Collaboratory for Structural Bioinformatics Protein Data Bank, University of California, San Francisco, San Francisco, CA 94157, USA.
  • Tangmunarunkit H; Information Sciences Institute, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
  • Voinea S; Information Sciences Institute, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
  • Sekharan M; Research Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
  • Yu J; Protein Data Bank Japan, Institute for Protein Research, Osaka University, Suita, Osaka 565-0871, Japan.
  • Bonvin AAMJJ; Bijvoet Centre for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, 3584 CH Utrecht, the Netherlands.
  • DiMaio F; Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, WA 98195, USA.
  • Hummer G; Department of Theoretical Biophysics, Max Planck Institute of Biophysics, 60438 Frankfurt am Main, Germany; Institute for Biophysics, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany.
  • Meiler J; Center for Structural Biology, Vanderbilt University, 465 21st Avenue South, Nashville, TN 37221, USA; Institute for Drug Discovery, Leipzig University Medical School, 04103 Leipzig, Germany.
  • Tajkhorshid E; NIH Resource for Macromolecular Modeling and Visualization, Beckman Institute for Advanced Science and Technology, Department of Biochemistry, and Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
  • Ferrin TE; Department of Pharmaceutical Chemistry, University of California, San Francisco, CA 94158, USA.
  • Lawson CL; Research Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
  • Leitner A; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland.
  • Rappsilber J; Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 10623 Berlin, Germany; Wellcome Centre for Cell Biology, University of Edinburgh, Max Born Crescent, Edinburgh EH9 3BF, UK.
  • Seidel CAM; Molecular Physical Chemistry, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany.
  • Jeffries CM; European Molecular Biology Laboratory (EMBL), Hamburg Unit, c/o Deutsches Elektronen-Synchrotron (DESY), Notkestrasse 85, 22607 Hamburg, Germany.
  • Burley SK; Research Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA; Re
  • Hoch JC; Biological Magnetic Resonance Data Bank, Department of Molecular Biology and Biophysics, University of Connecticut, Farmington, CT 06030-3305, USA.
  • Kurisu G; Protein Data Bank Japan, Institute for Protein Research, Osaka University, Suita, Osaka 565-0871, Japan.
  • Morris K; Electron Microscopy Data Bank, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK.
  • Patwardhan A; Electron Microscopy Data Bank, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK.
  • Velankar S; Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, UK.
  • Schwede T; Biozentrum, University of Basel, Basel, Switzerland; Computational Structural Biology & SIB Swiss Institute of Bioinformatics, Basel, Switzerland.
  • Trewhella J; School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia; Department of Chemistry, University of Utah, Salt Lake City, UT 84112, USA.
  • Kesselman C; Information Sciences Institute, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
  • Berman HM; Research 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 088
  • Sali A; Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, the Quantitative Biosciences Institute (QBI), and the Research Collaboratory for Structural Bioinformatics Protein Data Bank, University of California, San Francisco, San Francisco, CA 94157, USA.
J Mol Biol ; 436(17): 168546, 2024 Sep 01.
Article en En | MEDLINE | ID: mdl-38508301
ABSTRACT
IHMCIF (github.com/ihmwg/IHMCIF) is a data information framework that supports archiving and disseminating macromolecular structures determined by integrative or hybrid modeling (IHM), and making them Findable, Accessible, Interoperable, and Reusable (FAIR). IHMCIF is an extension of the Protein Data Bank Exchange/macromolecular Crystallographic Information Framework (PDBx/mmCIF) that serves as the framework for the Protein Data Bank (PDB) to archive experimentally determined atomic structures of biological macromolecules and their complexes with one another and small molecule ligands (e.g., enzyme cofactors and drugs). IHMCIF serves as the foundational data standard for the PDB-Dev prototype system, developed for archiving and disseminating integrative structures. It utilizes a flexible data representation to describe integrative structures that span multiple spatiotemporal scales and structural states with definitions for restraints from a variety of experimental methods contributing to integrative structural biology. The IHMCIF extension was created with the benefit of considerable community input and recommendations gathered by the Worldwide Protein Data Bank (wwPDB) Task Force for Integrative or Hybrid Methods (wwpdb.org/task/hybrid). Herein, we describe the development of IHMCIF to support evolving methodologies and ongoing advancements in integrative structural biology. Ultimately, IHMCIF will facilitate the unification of PDB-Dev data and tools with the PDB archive so that integrative structures can be archived and disseminated through PDB.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteínas / Bases de Datos de Proteínas Idioma: En Revista: J Mol Biol / J. mol. biol / Journal of molecular biology Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteínas / Bases de Datos de Proteínas Idioma: En Revista: J Mol Biol / J. mol. biol / Journal of molecular biology Año: 2024 Tipo del documento: Article