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 inthis 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.
Table des matières
Part-1.Introduction and historical background.- Chapter 1.Overall introduction and rationale, with View from computational biology.- Chapter 2.Integrative/Hybrid Methods Structural Biology: Role of Macromolecular Crystallography.- Chapter 3.View from nuclear magnetic resonance spectroscopy.- Part- 2.New experimental tools enabling hybrid methods.- Chapter 4.Complementary use of electron cryomicroscopy and X-ray crystallography: Structural studies of actin and actomyosin filaments.- Chapter 5.Current solution NMR techniques for structure-function studies of proteins and RNA molecules.- Chapter 6.The PA tag: a versatile peptide tagging system in the era of integrative structural biology.- Chapter 7.Small angle scattering and structural biology: Data quality and model validation.- Chapter 8.Structural investigation of proteins and protein complexes by chemical cross-linking/mass spectrometry.- Chapter 9.Prediction of structures and interactions from genome information.- Chapter10.A hybrid approach for protein structure determination combining sparse NMR with evolutionary coupling sequence data (EC-NMR).- Chapter 11.Harnessing the combined power of SAXS and NMR.- Chapter 12.2D Hybrid analysis.- Part-3.New computational tools enabling hybrid methods.- Chapter 13.Hybrid methods for macromolecular modeling by molecular mechanics simulations with experimental data.- Chapter 14.Rigid-body fitting of atomic models on 3D density maps of electron microscopy.- Chapter 15.Hybrid methods for modeling protein structures using molecular dynamics simulations and small-angle X-ray scattering data.- Part-4.Data validation and archives for hybrid methods.- Chapter 16.Archiving pf integrative/hybrid models.
A propos de l’auteur
Haruki Nakamura
Osaka University, Institute for Protein Research, Japan
Gerard J. Kleywegt
European Bioinformat Inst, Prot Data Bank Europe, England
Stephen K. Burley
Rutgers State University, Center for Integrative Proteomics Research, USA
John L. Markley
University of Wisconsin, Biochemistry Department, Natl Magnet Resonance Facil Madison, USA
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