Cooling schedules for optimal annealing
Mathematics of Operations Research
On the complexity of string folding
Discrete Applied Mathematics - Special volume on computational molecular biology
On the convergence of generalized hill climbing algorithms
Discrete Applied Mathematics
Efficiency of Local Search with Multiple Local Optima
SIAM Journal on Discrete Mathematics
SIAM Review
Protein Conformation of a Lattice Model Using Tabu Search
Journal of Global Optimization
A complete and effective move set for simplified protein folding
RECOMB '03 Proceedings of the seventh annual international conference on Research in computational molecular biology
Approximate protein folding in the HP side chain model on extended cubic lattices
Discrete Applied Mathematics - Special issue: Computational molecular biology series issue IV
Long proteins with unique optimal foldings in the H-P model
Computational Geometry: Theory and Applications - Special issue: The European workshop on computational geometry -- CG01
Opportunities for Combinatorial Optimization in Computational Biology
INFORMS Journal on Computing
Application of tabu search strategy for finding low energy structure of protein
Artificial Intelligence in Medicine
Hydrophobic collapse in (in silico) protein folding
Computational Biology and Chemistry
Evaluating protein structure-prediction schemes using energy landscape theory
IBM Journal of Research and Development
Stochastic protein folding simulation in the d-dimensional HP-model
BIRD'07 Proceedings of the 1st international conference on Bioinformatics research and development
Software note: Use of a novel Hill-climbing genetic algorithm in protein folding simulations
Computational Biology and Chemistry
Computational Biology and Chemistry
EvoBIO'10 Proceedings of the 8th European conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Computational Biology and Chemistry
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We present results from three-dimensional protein folding simulations in the HP-model on ten benchmark problems. The simulations are executed by a simulated annealing-based algorithm with a time-dependent cooling schedule. The neighbourhood relation is determined by the pull-move set. The results provide experimental evidence that the maximum depth D of local minima of the underlying energy landscape can be upper bounded by D