The
hydrophobic-polar protein folding model is a highly simplified model for examining
protein folds in space. First proposed by Dill in 1985, it is motivated by the observation that
hydrophobic interactions between
amino acid residues are the driving force for proteins folding into their
native state. All amino acid types are classified as either
hydrophobic (H) or
polar (P), and the folding of a protein sequence is defined as a
self-avoiding walk in a 2D or 3D
lattice. The HP model imitates the hydrophobic effect by assigning a negative (favorable) weight to interactions between adjacent, non-covalently bound H residues. Proteins that have minimum energy are assumed to be in their native state.
The HP model can be expressed in both two and three dimensions, generally with
square lattices, although triangular lattices have been used as well.
Randomized search algorithms are often used to tackle the HP folding problem. This includes
stochastic,
evolutionary algorithms like the
Monte Carlo method,
genetic algorithms, and
ant colony optimization. While no method has been able to calculate the experimentally determined minimum energetic state for long protein sequences, the most advanced methods today are able to come close.
Even though the HP model abstracts away many of the details of protein folding, it is still an
NP-hard...
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