Class Mutation

object --+
         |
        Mutation

Instance Methods

[hide private]

int

elementalMutator(self, genome, **args)
Perform a random elemental mutation to an element in the same column (as known as group) of the periodic table.

int

fragmentMutator(self, genome, **args)
Randomly mutate the genome by swapping a molecular fragement on one side of a bond by a similar fragment from a library.

int

isoelectronicMutator(self, genome, **args)
Perform a random isoelectronic mutation from the following sets of series CH3X, NH2X, OHX, and FX, CH2XY, NHXY, OXY, and CHXYZ and NXYZ, where X, Y, and Z are non-H-bonds.

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __init__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __str__, __subclasshook__

Properties

[hide private]

Inherited from object: __class__

Method Details

[hide private]

elementalMutator(self, genome, **args)

Perform a random elemental mutation to an element in the same column (as known as group) of the periodic table. Note that hydrogen and the halogens are considered to belong to the same column.

Parameters:

genome (StructureGenome) - a genome
args (dict) - dictionary of genetic optimization parameters created and used by pyevolve

Returns: int

the number of mutations applied, appears to never be used in PyEvolve

fragmentMutator(self, genome, **args)

Randomly mutate the genome by swapping a molecular fragement on one side of a bond by a similar fragment from a library.

Parameters:

genome (StructureGenome) - a genome
args (dict) - dictionary of genetic optimization parameters created and used by pyevolve

Returns: int

the number of mutations applied, appears to never be used in PyEvolve

isoelectronicMutator(self, genome, **args)

Perform a random isoelectronic mutation from the following sets of series CH3X, NH2X, OHX, and FX, CH2XY, NHXY, OXY, and CHXYZ and NXYZ, where X, Y, and Z are non-H-bonds.

Parameters:

genome (StructureGenome) - a genome
args (dict) - dictionary of genetic optimization parameters created and used by pyevolve

Returns: int

the number of mutations applied, appears to never be used in PyEvolve