Abstract
Conventional methods for RNA 2D structure prediction
search for minimal free energy structures. RNA's,
however, RNA's do not always adopt global minimum
structures. Rather, their structure is the result of
the folding pathway followed by the structure in
nature, which adopts sub-optimal folds occurring along
the pathway. Our algorithm consists of an automaton
that generates RNA structures by searching for optimal
folding pathways. The automaton is endowed of
operations to travel throughout the hyperspace of
conformers embedded in a base pairing matrix. Using
genetic programming it evolves optimising its ability
to find optimal pathways and finally 2D structures.
Comparing the evolving automaton with conventional
methods shows its potential.
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