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

补充

亲密

The Framework of Computational Protein Designeins are computationally designed from the level of amino acids to the level of a functional protein complex. Design targets range from increased thermo- (or other) stability to specific requested reactions such as protein–protein binding, enzymatic reactions, or nanotechnology applications. The des

indubitable

NATAL

Production of Computationally Designed Small Soluble- and Membrane-Proteins: Cloning, Expression, andifficult to express in good amounts for experiments. Over-expression of such proteins can be achieved by using the solubility tag such as maltose binding protein (MBP), Thioredoxin (Trx), and Gultathione-S-transferase (GST) fused to the protein of interest. Here, we describe and provide the protoco

使熄灭

肮脏

胰岛素

Modeling Binding Affinity of Pathological Mutations for Computational Protein Designcal processes. The functional characterization of such interactions at molecular level is necessary, not only to understand biological and pathological phenomena but also to design improved, or even new interfaces, or to develop new therapeutic approaches. X-ray crystallography and NMR spectroscopy

薄荷醇

Kaleidoscope

ODIUM

Applications of Normal Mode Analysis Methods in Computational Protein Designy and dynamics as well as the generation of biologically relevant conformational ensembles. Given the interplay between flexibility and enzymatic activity, the combined analysis of stability and dynamics using the Elastic Network Contact Model (ENCoM) method has ample applications in protein enginee