A Subspace Semi-Definite programming-based Underestimation (SSDU) method for stochastic global optimization in protein docking

We propose a new stochastic global optimization method targeting protein docking problems. The method is based on finding a general convex polynomial underestimator to the binding energy function in a permissive subspace that possesses a funnel-like structure. We use Principal Component Analysis (PC...

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Detalles Bibliográficos
Publicado en:Proc IEEE Conf Decis Control
Autores principales: Nan, Feng, Moghadasi, Mohammad, Vakili, Pirooz, Vajda, Sandor, Kozakov, Dima, Ch. Paschalidis, Ioannis
Formato: Artigo
Lenguaje:Inglês
Publicado: 2014
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Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC4405505/
https://ncbi.nlm.nih.gov/pubmed/25914440
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/CDC.2014.7040111
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