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Computational Analysis of Protein
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Computational Analysis of Protein
Contents
Contents
List of Figures
List of Tables
Introduction
Protein structure and function
Primary structure
Secondary structure
Tertiary structure
Quaternary structure -- macromolecular assemblies
Soluble, fibrous and membrane proteins
Enzymes
Electron transfer proteins
Proteins in signalling and recognition
Mechanical proteins
Regulation and control of protein function
Protein structure classification
The dynamic programming alignment algorithm
Structural alignment
Classification schemes
Molecular interactions of proteins
Protein surfaces and binding
Molecular surfaces
Docking
Prediction of protein structure and function
Sequence methods
Fold recognition
Comparative modelling
Ab initio
methods
CASP - Critical Assessment of Structure Prediction
Outline of thesis
Antibody-antigen interactions
Introduction
Methods and Data
Antibody structures and sequences
Accessibility and burial
Canonical loops and structural alignment
Surface analysis
Results
Contact Analysis
Antibody surface topography
Predicting antigen contacts
Discussion
Class and architecture prediction
Introduction
Class prediction
Overview of algorithm
Dataset size
Dataset completeness and class definitions
Pairwise similarity
Jack-knifing
Sequence length and noise
Multiple sequences
N-tuple composition
Prediction confidence
Helix/non-helix prediction
Secondary structural content prediction
Hierarchical class and architecture prediction
Distinction between mainly-
and mixed-
classes
Prediction of mainly-
architectures
Prediction of other architectures
Origins of sequence composition differences
Methods -- Analysis of sequence pattern usage
Secondary structural class
Mainly-
architectures
Discussion
Alignments of multiple sequence-derived property vectors
Introduction
Sequence properties and derived information
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
Alignment quality
Future developments of SIVA
Self-organising maps of protein structure and sequence
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
Concluding remarks
Gathering multiple sequences for protein domains
Overview
Domain sequences
Database search
Multiple sequence alignments
Indel removal
Removal of redundant sequences (weeding)
CATH descriptions
Architectures
Topologies
Bibliography
About this document ...
Copyright Bob MacCallum - DISCLAIMER: this was written in 1997 and may contain out-of-date information.