NAME
Bio::Tools::LatticeProtein - Lattice model for protein prediction
SYNOPSIS
use Data::Dumper;
use Bio::Tools::LatticeProtein;
$lp = Bio::Tools::LatticeProtein->new(
sequence => 'PERLISNIFTY',
cycle => 100,
popsize => 20,
survival => 10,
mutdist => {
end_rotation => 0.1,
kink_jump => 0.4,
crankshaft => 0.4,
slithering => 0.1,
},
);
print $lp->run;
print Dumper $lp->result;
DESCRIPTION
This module is an experimental implementation of the lattice model for protein tertiary structure prediction. Positions of amino acids are mapped to discrete coordinates. With the genetic algorithm backend, structures are mutated and those with lower energies will be picked up for next round of mutation.
There are four supported mutation strategies. End Rotation, Kink Jump, Crankshaft, and Slithering Snake.
Then, follow the 2D-graphic illustrations of these operations.
End Rotation
o
|
=========> |
|
o-----o-----o o-----o
Kink Jump
o o-----o
| |
| =========> |
| |
o-----o-----o o-----o
Crankshaft
o-----o
| |
| |
=========> | |
o o-----o o o-----o
\ \
\ \
\ \
o-----o
Slithering snake
o-----o-----o o-----o
| |
| |
| ==========> |
o O <- The head o o-----O
| | | |
| | | |
| | | |
o-----o o-----o
INTERFACE
new
The constructor takes the following parameters
sequence
The protein sequence. Case-insensitive.
cycle
The number of generations will be performed. Defaults to 15.
popsize
The population size of a generation. Defaults to 20.
survival
The number of protein folding configurations will be carried to next cycle. Defaults to 10, and it should not be greater than popsize.
mutdist
The distribution of mutation probabilities. The Default setting is
mutdist => {
end_rotation => 0.25,
kink_jump => 0.25,
crankshaft => 0.25,
slithering => 0.25,
},
And they must sum to 1.
run
Starts the whole process.
result
Returns the predicted result with coordinates and energies.
ON ENERGY
The method to calculate energy is: First, setting it to zero. For each hydrophobic amino acid, if there's another hydrophobic amino acid found around it, then the energy decreases by 1.
REFERENCE
MOLECULAR MODELLING, principles and applications by Andrew R. Leach.
COPYRIGHT
xern <xern@cpan.org>
This module is free software; you can redistribute it or modify it under the same terms as Perl itself.