This thorough volume explores predicting one-dimensional functional properties, functional sites in particular, from protein sequences, an area which is getting more and more attention. Beginning with secondary structure prediction based on sequence only, the book continues by exploring secondary structure prediction based on evolution information, prediction of solvent accessible surface areas and backbone torsion angles, model building, global structural properties, functional properties, as well as visualizing interior and protruding regions in proteins. Written for the highly successful
Methods in Molecular Biology series, the chapters include the kind of detail and implementation advice to ensure success in the laboratory.
Practical and authoritative, Prediction of Protein Secondary Structure serves as a vital guide to numerous state-of-the-art techniques that are useful for computational and experimental biologists.
1. Where the Name GOR Originates: A Story
Jean Garnier
2. The GOR Method of Protein Secondary Structure Prediction and Its Application as a Protein Aggregation Prediction Tool
Maksim Kouza, Eshel Faraggi, Andrzej Kolinski, and Andrzej Kloczkowski
3. Consensus Prediction of Charged Single Alpha-Helices with CSAHserver
D?niel Dudola, G?bor T?th, L?szl? Nyitray, and Zolt?n G?sp?ri
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