From Protein Structure to Function with Bioinformatics
The first section covers methods ranging from traditional homology modelling and fold recognition to fragment-based ab initio methods, and includes a chapter, new for the second edition, on structure prediction using evolutionary covariance. Membrane proteins and intrinsically disordered proteins ar...
| Other Authors: | |
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| Format: | eBook |
| Language: | English |
| Published: |
Dordrecht
Springer Netherlands
2017, 2017
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| Edition: | 2nd ed. 2017 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Preface
- Ab Initio Protein Structure Prediction
- Protein structures, interactions and function from evolutionary couplings.-Fold Recognition
- Comparative protein structure modelling
- Advances in computational methods for transmembrane protein structure prediction
- Bioinformatics approaches to the structure and function of intrinsically disordered proteins
- Prediction of Protein Aggregation and Amyloid Formation
- Prediction of biomolecular complexes
- Function Diversity within Folds and Superfamilies
- Function prediction using patches, pockets and other surface properties
- 3D Motifs
- Protein Dynamics: From Structure to Function
- Integrated servers for structure-informed function prediction
- Case Studies: Function Predictions Of Structural Genomics Results
- Prediction of protein function from theoretical models
- Index