Fast protein folding in the hydrophobic-hydrophilic model within three-eights of optimal
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
Chain growth algorithms for HP-type lattice proteins
RECOMB '97 Proceedings of the first annual international conference on Computational molecular biology
RECOMB '99 Proceedings of the third annual international conference on Computational molecular biology
Using motion planning to study protein folding pathways
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
A new algorithm for protein folding in the HP model
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Genetic Algorithm for 3D Protein Folding Simulations
Proceedings of the 5th International Conference on Genetic Algorithms
Optimally Compact Finite Sphere Packings - Hydrophobic Cores in the FCC
CPM '01 Proceedings of the 12th Annual Symposium on Combinatorial Pattern Matching
Stochastic protein folding simulation in the three-dimensional HP-model
Computational Biology and Chemistry
Stochastic protein folding simulation in the d-dimensional HP-model
BIRD'07 Proceedings of the 1st international conference on Bioinformatics research and development
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It is widely accepted that (1) the natural or folded state of proteins is a global energy minimum, and (2) in most cases proteins fold to a unique state determined by their amino acid sequence. The H-P (hydrophobic-hydrophilic) model is a simple combinatorial model designed to answer qualitative questions about the protein folding process. In this paper we consider a problem suggested by Brian Hayes in 1998: what proteins in the two-dimensional H-P model have unique optimal (minimum energy) foldings? In particular, we prove that there are closed chains of monomers (amino acids) with this property for all (even) lengths; and that there are open monomer chains with this property for all lengths divisible by four.