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Homology Modeling
David Shiuan
Department of Life Scienceand Institute of Biotechnology
National Dong Hwa University
Why Modeling ?
X-ray diffraction electron diffraction map electron density map
Missing chains and residues in PDB structures
No structure available
Erwin Schrodinger
John Pople1964 NobleComputation Chemistry
Walter Kohn1960 NobleDensity-Function theory
Polypeptide Chain
Structural Models are a unique source of information
The first solved protein crystal structure was of Sperm Whale myoglobin determined by Max Perutz and Sir John Cowdery Kendrew in 1958. They were aw
arded the Nobel Prize in Chemistry in 1962
Modeling – Prediction of 3D Structures
Homology Modeling Structures of similar molecules available
Threading Prediction-based threading detecting the fold type an
d aligning a protein of unknown structure and a protein of known structure for low levels of sequence identity ( < 25%)
Ab initio predicts the structure of proteins from the sequence a
nd using molecular energy calculations (Schrodinger equation), do not use experimental parameters.
Threading, A new approach to protein fold recognition. Nature 358
(1992 ) 86-89
An alternative strategy of recognizing known motifs or folds in sequences looks promising
Threading is an approach to fold recognition which used a detailed 3-D representation of protein structure. The idea was to physically "thread" a sequence of amino acid side chains onto a backbone structure (a fold) and to evaluate this proposed 3-D structure using a set of pair potentials and (importantly) a separate solvation potential.
View saccharide with JMol-Applet Chemis3D-Applet
Bystroff C & Shao Y. (2002). Fully automated ab initio protein structure prediction using I-SITES, HMMSTR and ROSETTA.
Bioinformatics 18 Suppl 1, S54-61.
Ab initioStructure Prediction
Comparative Protein Modelling
Proteins with high sequence similarity is reflected by distinct structure similarity
Comparative protein modelling (Homology Modeling) is presently the most reliable method.
Comparative model building consist of the extrapolation of the structure for a new (target) sequence from the known 3D-structure of related family members (templates).
Building The Model 1. Framework construction
By averaging the position of each atom in the target sequence, based on the location of the corresponding
atoms in the template
Building The Model 2. Building non-conserved
loops
Although most of the known 3D-structures available share no overall similarity with the template, there may be similarities in the loop regions, and these can be inserted as loop structure in the new protein model
Building The Model 3. Completing the backbone
Since the loop building only adds C atoms, the backbone carbonyl and nitrogens must be completed in these regions.
This step can be performed by using a library of pentapeptide backbone fragments derived from the PDB entri
es
Building The Model
4. Adding side chains
For many of the protein side chains there is no structural information available in the templates. These cannot therefore be built during the framework generation and must be added later
Building The Model
5. Model refinement
Idealisation of bond geometry and removal of unfavourable non-bonded contacts can be performed by energy minimisation with force fields such as CHARMM, AMBER or GROMOS.
How to Superimpose Two
Proteins
Open the PDB file 11MUP Open the PDB file 21OBP Color by secondary structure
Use the "Iterative Magic Fit"
or the“Improve Fit" item of the "Tools" menu
How SWISS-MODEL works
Probabilities of SWISS-MODEL accuracy for target-template identity
classes
224 aa
224 aa
We have identified three new families of insulin homologs in C. elegans.
Comparative protein modelling remarkably confirms these predictions
Example/Swiss Model:
Insulin-like growth factors in C. elegans.