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Structural Bioinformatics

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Cover of 'Structural Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 Visualization and Analysis of Protein Structures with LiteMol Suite
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    Chapter 2 Comparative Protein Structure Analysis with Bio3D-Web
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    Chapter 3 Using Dali for Protein Structure Comparison
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    Chapter 4 Assessing Protein Function Through Structural Similarities with CATH
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    Chapter 5 Protein Thermal Stability Engineering Using HoTMuSiC
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    Chapter 6 Contact Area-Based Structural Analysis of Proteins and Their Complexes Using CAD-Score
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    Chapter 7 A Comprehensive Computational Platform to Guide Drug Development Using Graph-Based Signature Methods
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    Chapter 8 Systematic Exploration of Binding Modes of Ligands on Drug Targets
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    Chapter 9 Using MemBlob to Analyze Transmembrane Regions Based on Cryo-EM Maps
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    Chapter 10 Structural Characterization of Protein–Protein Interactions with pyDockSAXS
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    Chapter 11 Protein–Protein Modeling Using Cryo-EM Restraints
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    Chapter 12 Modeling of Multimolecular Complexes
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    Chapter 13 Biological Assembly Comparison with VAST+
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    Chapter 14 BioMagResBank (BMRB) as a Resource for Structural Biology
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    Chapter 15 Integrating Molecular Simulation and Experimental Data: A Bayesian/Maximum Entropy Reweighting Approach
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    Chapter 16 Evaluation and Selection of Dynamic Protein Structural Ensembles with CoNSEnsX+
Attention for Chapter 14: BioMagResBank (BMRB) as a Resource for Structural Biology
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Chapter title
BioMagResBank (BMRB) as a Resource for Structural Biology
Chapter number 14
Book title
Structural Bioinformatics
Published by
Humana, New York, NY, February 2020
DOI 10.1007/978-1-0716-0270-6_14
Pubmed ID
Book ISBNs
978-1-07-160269-0, 978-1-07-160270-6
Authors

Pedro R. Romero, Naohiro Kobayashi, Jonathan R. Wedell, Kumaran Baskaran, Takeshi Iwata, Masashi Yokochi, Dimitri Maziuk, Hongyang Yao, Toshimichi Fujiwara, Genji Kurusu, Eldon L. Ulrich, Jeffrey C. Hoch, John L. Markley, Romero, Pedro R., Kobayashi, Naohiro, Wedell, Jonathan R., Baskaran, Kumaran, Iwata, Takeshi, Yokochi, Masashi, Maziuk, Dimitri, Yao, Hongyang, Fujiwara, Toshimichi, Kurusu, Genji, Ulrich, Eldon L., Hoch, Jeffrey C., Markley, John L.

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X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Professor 3 14%
Other 2 9%
Student > Ph. D. Student 2 9%
Student > Master 2 9%
Lecturer 1 5%
Other 4 18%
Unknown 8 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 23%
Biochemistry, Genetics and Molecular Biology 3 14%
Arts and Humanities 1 5%
Unspecified 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 2 9%
Unknown 9 41%