Abstract
Summary
Determination of the protein structure and understanding its function is essential for any relevant medical, engineering, or pharmaceutical applications. Therefore, the study of quaternary structure of proteins, despite all the obstacles in acquiring data from large macromolecular assemblies, is one of the major goals in biomolecular sciences. This chapter discusses respectively protein structure prediction, template‐based predictions, critical assessment of protein structure prediction (CASP), and quaternary structure prediction. Homology modeling and threading methods are two types of template‐based approaches. The homology modeling method needs to have the homologous protein structure as template and threading methods are a new approach in fold recognition, in which the tool attempts to fit the sequence in the known structures. A few sequence‐based computational methods have been developed for the prediction of protein quaternary structure using statistical models or machine learning methods.
| Original language | English |
|---|---|
| Title of host publication | Pattern recognition in computational molecular biology |
| Subtitle of host publication | techniques and approaches |
| Editors | Mourad Elloumi |
| Place of Publication | Hoboken, NJ |
| Publisher | Wiley |
| Chapter | 14 |
| Pages | 251-265 |
| Number of pages | 15 |
| ISBN (Print) | 9781118893685 |
| DOIs | |
| Publication status | Published - 2016 |
Publication series
| Name | Wiley series on bioinformatics: computational techniques and engineering |
|---|
Keywords
- critical assessment of protein structure prediction
- machine learning methods
- protein structure prediction
- quaternary structure prediction
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