Integrative Structural Biology with Hybrid Methods

  • Haruki Nakamura
  • Gerard Kleywegt
  • Stephen K. Burley
  • John L. Markley

Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 1105)

Table of contents

  1. Front Matter
    Pages i-vi
  2. Introduction and Historical Background

  3. New Experimental Tools Enabling Hybrid Methods

  4. New Computational Tools Enabling Hybrid Methods

  5. Data Validation and Archives for Hybrid Methods

    1. Front Matter
      Pages 259-259
    2. Helen M. Berman, Jill Trewhella, Brinda Vallat, John D. Westbrook
      Pages 261-272

About this book


This book presents a new emerging concept of "Integrative Structural Biology". It covers current trends of the molecular and cellular structural biology, providing new methods to observe, validate, and keep the structural models of the large cellular machines with recent scientific results. Structures of very large macromolecular machines in cells are being determined by combining observations from complementary experimental methods. Thus, this volume presents the each methods such as X-ray crystallography, NMR spectroscopy, 3DEM, small-angle scattering (SAS), FRET, crosslinking, and enables the readers to understand the hybrid methods. This book discusses how those integrative models should be represented, validated and archived. A unique highlight of this book is discussion of the data validation and archive, which are big problems in this filed along with the progress of this field. The researchers in biology will be interested in this book as a guide book for learning the current structure biology, but also those in structure biology may use this book as a comprehensive reference to cover broad topics.


Hybrid/integrative methods structural biology PDB EMDB SASBDB PMP

Editors and affiliations

  • Haruki Nakamura
    • 1
  • Gerard Kleywegt
    • 2
  • Stephen K. Burley
    • 3
  • John L. Markley
    • 4
  1. 1.Institute for Protein ResearchOsaka UniversitySuitaJapan
  2. 2.European Bioinformatics InstituteCambridgeshireUK
  3. 3.Rutgers, The State University of New JerseyPiscatawayUSA
  4. 4.Biochemistry DepartmentUniversity of Wisconsin-MadisonMadisonUSA

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