Titlebook: Computational Protein Design; Ilan Samish Book 2017 Springer Science+Business Media New York 2017 designed protein.Dead-End-Elimination (D

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https://doi.org/10.1007/978-3-8349-9714-2grafting method side chain mutations are introduced into a preexisting protein scaffold to recreate a target functional motif. The success of this approach relies on two primary criteria: (1) the availability of compatible structural scaffolds, and (2) the introduction of mutations that do not affec

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Supply Management in der Hotelbranches such, it can be used to optimize protein stability, to resculpt the protein surface to eliminate undesired protein-protein interactions, and to optimize protein-protein binding. A major distinguishing feature of EvoDesign in comparison to other protein design programs is the use of evolutionary in

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Schlussbetrachtung und Ausblick,n and can also be useful in guiding a modeling or design procedures of protein complex structures. Since prediction methods essentially assess the propensity of amino acids that are likely to be part of a protein docking interface, they can help in designing protein-protein interactions. Here, we in

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Supply Management in der Hotelbranchebionanotechnological applications. As such proteins do not occur naturally, the emerging field of computational protein design serves as an excellent tool to create them from nonsymmetrical templates. Existing pseudo-symmetrical proteins are believed to have evolved from oligomeric precursors by dup

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Computational Protein Design978-1-4939-6637-0Series ISSN 1064-3745 Series E-ISSN 1940-6029

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978-1-4939-8256-1Springer Science+Business Media New York 2017

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