Titlebook: Computational Design of Ligand Binding Proteins; Barry L. Stoddard Book 2016 Springer Science+Business Media New York 2016 ligand-binding

否認(rèn)

Exhilarate

Small-Intestine

,Design of Specific Peptide–Protein Recognition,ed the method to design peptides that discriminate with high selectivity between two closely related PDZ domains. The framework accounts for the flexibility of the peptide in the binding site, but is efficient enough to quickly analyze trade-offs between affinity and selectivity, enabling the identification of optimal peptides.

寬敞

FRET

Het afleggen, de uitvaart en de begrafenis,zer has been tested in a comprehensive benchmark and predicted mutations have also been used in experimental tests. In this chapter, we will provide general recommendations for usage as well as an in-depth description of all individual PocketOptimizer modules.

散布

Zusammenfassung der Ergebnisse,t a library of yeast-displayed peptide ligands according to their affinities for a target. Second, all sorted pools are deep sequenced. Third, the resulting data are analyzed to create a ranking. We demonstrate an application of SORTCERY to the problem of ranking peptide ligands for the anti-apoptotic regulator Bcl-x..

變形詞

Steuer-ABC des Wertpapierbesitzers examples of ROSETTA computational protocols for the design of functional protein binders using seeded protein interface design. In these protocols, a motif of known structure that interacts with the target site is grafted into a scaffold protein, followed by design of the surrounding interaction surface.

neutral-posture

,Motif-Driven Design of Protein–Protein Interfaces, examples of ROSETTA computational protocols for the design of functional protein binders using seeded protein interface design. In these protocols, a motif of known structure that interacts with the target site is grafted into a scaffold protein, followed by design of the surrounding interaction surface.

blithe

1064-3745 tion advice from the experts.Includes supplementary material.This volume provides acollection of protocols and approaches for the creation of novel ligand bindingproteins, compiled and described by many of today‘s leaders in the field ofprotein engineering. Chapters focus on?modeling protein ligand

Inculcate

Struktur und Nomenklatur der Steroide, redesign an existing protein pocket to bind a target ligand. Starting with a protein structure and the structure of the ligand, Rosetta can optimize both the placement of the ligand in the pocket and the identity and conformation of the surrounding sidechains, yielding proteins that bind the target compound.