dc.contributor.author | Albrecht, A. | |
dc.contributor.author | Skaliotis, A. | |
dc.contributor.author | Steinhofel, K. | |
dc.date.accessioned | 2011-06-08T13:38:36Z | |
dc.date.available | 2011-06-08T13:38:36Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Albrecht , A , Skaliotis , A & Steinhofel , K 2008 , ' Stochastic protein folding simulation in the three-dimensional HP-model ' , Computational Biology and Chemistry , vol. 32 , no. 4 , pp. 248-255 . https://doi.org/10.1016/j.compbiolchem.2008.03.004 | |
dc.identifier.issn | 1476-9271 | |
dc.identifier.other | dspace: 2299/5928 | |
dc.identifier.uri | http://hdl.handle.net/2299/5928 | |
dc.description | Original article can be found at : http://www.sciencedirect.com/ Copyright Elsevier [Full text of this article is not available in the UHRA] | |
dc.description.abstract | 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<n2/3. The local search procedure employs the stopping criterion (m/δ)D/γ, where m is an estimation of the average number of neighbouring conformations, γ relates to the mean of non-zero differences of the objective function for neighbouring conformations, and 1−δ is the confidence that a minimum conformation has been found. The bound complies with the results obtained for the ten benchmark problems. | en |
dc.language.iso | eng | |
dc.relation.ispartof | Computational Biology and Chemistry | |
dc.subject | protein folding | |
dc.subject | HP-model | |
dc.subject | landscape analysis | |
dc.subject | stochastic local search | |
dc.subject | simulated annealing | |
dc.title | Stochastic protein folding simulation in the three-dimensional HP-model | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Science & Technology Research Institute | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | 10.1016/j.compbiolchem.2008.03.004 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |