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Języki publikacji
Abstrakty
Lattice protein models are well-studied abstractions of globular proteins. By discretizing the structure space and simplifying the energy model over regular proteins, they enable detailed studies of protein structure formation and evolution. However, even in the simplest lattice protein models, the prediction of optimal structures is computationally difficult. Therefore, often, heuristic approaches are applied to find such conformations. Commonly, heuristic methods find only locally optimal solutions. Nevertheless, there exist methods that guarantee to predict globally optimal structures. Currently, only one such exact approach is publicly available, namely the constraint-based protein structure prediction method and variants. Here, we review exact approaches and derived methods. We discuss fundamental concepts like hydrophobic core construction and their use in optimal structure prediction, as well as possible applications like combinations of different energy models.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
213--225
Opis fizyczny
Bibliogr. 95 poz., rys., wykr.
Twórcy
autor
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg, Germany
autor
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg, Germany
- Center for Biological Signaling Studies (BIOSS), University of Freiburg, Freiburg, Germany
- Center for Biological Systems Analysis (ZBSA), University of Freiburg, Freiburg, Germany
- Center for Non-coding RNA in Technology and Health, University of Copenhagen, Frederiksberg C, Denmark
Bibliografia
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Bibliografia
Identyfikator YADDA
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