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Structural Bioinformatics

Overview of attention for book
Structural Bioinformatics
Springer US

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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 3: Using Dali for Protein Structure Comparison
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Chapter title
Using Dali for Protein Structure Comparison
Chapter number 3
Book title
Structural Bioinformatics
Published by
Humana, New York, NY, February 2020
DOI 10.1007/978-1-0716-0270-6_3
Pubmed ID
Book ISBNs
978-1-07-160269-0, 978-1-07-160270-6
Authors

Liisa Holm, Holm, Liisa

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 256 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 256 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 16%
Student > Bachelor 35 14%
Researcher 30 12%
Student > Master 18 7%
Other 9 4%
Other 28 11%
Unknown 94 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 101 39%
Agricultural and Biological Sciences 24 9%
Chemistry 6 2%
Immunology and Microbiology 4 2%
Computer Science 4 2%
Other 10 4%
Unknown 107 42%