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Next:
Introduction
Up:
Computational Analysis of Protein
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Future developments of SIVA
 
Contents
Self-organising maps of protein structure and sequence
Subsections
Introduction
Self-organising maps - Overview
and Methods
Implementation
Visualisation
Mapping of three-dimensional protein structure
Self-organising maps of two superfolds
Map discontinuities
Map dimensions
Fold essence
Mapping of structure and sequence properties
Sequence-derived hydropathy
Sequence conservation
Predicted secondary structure information
Alignment of structure-mapped sequence information
Methods -- fold recognition using mapped sequences
Results -- fold recognition using mapped sequences
Alignment quality for
doubly wound folds
Gap penalties
Analysis and Discussion
Possible developments
Structure-mapping of sequence information
Fold recognition and self-organising maps
Copyright Bob MacCallum - DISCLAIMER: this was written in 1997 and may contain out-of-date information.