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Introduction
Up:
Computational Analysis of Protein
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Discussion
Contents
Fold recognition using alignments of multiple sequence-derived property vectors.
Subsections
Introduction
Sequence properties and derived information
Hydrophobicity
Hydrophobicity scales
Other amino acid types
Sequence conservation
Secondary structure and accessibility predictions
Methods and Data
Fold library and query sequences
Evaluation of fold recognition performance
Evaluation of alignment quality
Sequence alignment algorithm
Results
Baseline comparison -- Smith Waterman searches of the fold library
Alignments of hydrophobicity-related information
Sequence Conservation
Secondary structure predictions
Analysis and Discussion
Respectable fold recognition from sequence alone?
Length dependence and local alignments
The Fischer and Eisenberg benchmark
Significance estimates and null predictions
Significance estimates
Null predictions
A protocol for fold recognition
Can we recognise all the recognisable folds?
Alignment quality
Future developments of SIVA
Copyright Bob MacCallum - DISCLAIMER: this was written in 1997 and may contain out-of-date information.
