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Rigden, Daniel John

From Protein Structure to Function with Bioinformatics

Rigden, Daniel John - From Protein Structure to Function with Bioinformatics, ebook

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ISBN: 9781402090585
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Table of contents

I. Generating and Inferring Structures

1.
Ab Initio Protein Structure Prediction
Jooyoung Lee, Sitao Wu, Yang Zhang

2. Fold Recognition
Lawrence A. Kelley

3. Comparative Protein Structure Modelling
András Fiser

4. Membrane Protein Structure Prediction
Timothy Nugent, David T. Jones

5. Bioinformatics Approaches to the Structure and Function of Intrinsically Disordered Proteins
Peter Tompa

II. From Structures to Functions

6. Function Diversity Within Folds and Superfamilies
Benoit H. Dessailly, Christine A. Orengo

7. Predicting Protein Function from Surface Properties
Nicholas J. Burgoyne, Richard M. Jackson

8. 3D Motifs
Elaine C. Meng, Benjamin J. Polacco, Patricia C. Babbitt

9. Protein Dynamics: From Structure to Function
Marcus B. Kubitzki, Bert L. Groot, Daniel Seeliger

10. Integrated Servers for Structure-Informed Function Prediction
Roman A. Laskowski

11. Case Studies: Function Predictions of Structural Genomics Results
James D. Watson, Janet M. Thornton

12. Prediction of Protein Function from Theoretical Models
Iwona A. Cymerman, Daniel J. Rigden, Janusz M. Bujnicki

Keywords: Biomedicine, Biomedicine general, Bioinformatics, Computer Appl. in Life Sciences, Life Sciences, general, Proteomics

Author(s)
Publisher
Springer
Publication year
2009
Language
en
Edition
1
Page amount
339 pages
Category
Medicine, Health Care, Mode
Format
Ebook
eISBN (PDF)
9781402090585

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