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Rigden, Daniel J.

From Protein Structure to Function with Bioinformatics

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

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ISBN: 9789402410693
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Table of contents

Part I. Generating and Inferring Structures

1. Ab Initio Protein Structure Prediction
Jooyoung Lee, Peter L. Freddolino, Yang Zhang

2. Protein Structures, Interactions and Function from Evolutionary Couplings
Thomas A. Hopf, Debora S. Marks

3. Fold Recognition
Lawrence A. Kelley

4. Comparative Protein Structure Modelling
András Fiser

5. Advances in Computational Methods for Transmembrane Protein Structure Prediction
Tim Nugent, David Jones, Sikander Hayat

6. Bioinformatics Approaches to the Structure and Function of Intrinsically Disordered Proteins
Zsuzsanna Dosztányi, Peter Tompa

7. Prediction of Protein Aggregation and Amyloid Formation
Ricardo Graña-Montes, Jordi Pujols-Pujol, Carlota Gómez-Picanyol, Salvador Ventura

8. Prediction of Biomolecular Complexes
Anna Vangone, Romina Oliva, Luigi Cavallo, Alexandre M. J. J. Bonvin

Part II. From Structures to Functions

9. Function Diversity Within Folds and Superfamilies
Benoit H. Dessailly, Natalie L. Dawson, Sayoni Das, Christine A. Orengo

10. Function Prediction Using Patches, Pockets and Other Surface Properties
Daniel J. Rigden

11. 3D Motifs
Jerome P. Nilmeier, Elaine C. Meng, Benjamin J. Polacco, Patricia C. Babbitt

12.
Protein Dynamics
: From Structure to Function
Marcus B. Kubitzki, Bert L. Groot, Daniel Seeliger

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

14. Case Studies: Function Predictions of Structural Genomics Results
James D. Watson, Roman A. Laskowski, Janet M. Thornton

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

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

Editor
Publisher
Springer
Publication year
2017
Language
en
Edition
2nd ed. 2017
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9789402410693
Printed ISBN
978-94-024-1067-9

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