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

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書目名稱Computational Design of Ligand Binding Proteins影響因子(影響力)




書目名稱Computational Design of Ligand Binding Proteins影響因子(影響力)學(xué)科排名




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書目名稱Computational Design of Ligand Binding Proteins網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Computational Design of Ligand Binding Proteins被引頻次學(xué)科排名




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書目名稱Computational Design of Ligand Binding Proteins讀者反饋




書目名稱Computational Design of Ligand Binding Proteins讀者反饋學(xué)科排名

Perceive

Zusammenfassung der Ergebnisse,eve this is the theozyme placement and enzyme design algorithms implemented in Rosetta Molecular Modeling Suite. Here, we illustrate how to use this software to recapitulate the placement of catalytic residues and ligand into a protein using a theozyme, protein scaffold, and catalytic constraints as input.

歹徒

Barry L. StoddardIncludes cutting-edge methods and protocols.Provide step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts.Includes supplementary material

細(xì)節(jié)

Methods in Molecular Biologyhttp://image.papertrans.cn/c/image/232231.jpg

手工藝品

outer-ear

978-1-4939-8080-2Springer Science+Business Media New York 2016

outer-ear

CYT

Verschlüsselung und Substanz-Verzeichnisse–ligand interactions. However, most of the currently available computational techniques are affected by severe deficiencies in both protein and ligand conformational sampling as well as in the scoring of the obtained docking solutions. To overcome these limitations, we have recently developed Medusa

合并

Die biologische Funktion der Steroidhormone,des, respectively. GalaxySite predicts ligands that may bind the input protein and generates complex structures of the protein with the predicted ligands from the protein structure given as input or predicted from the input sequence. GalaxyPepDock takes a protein structure and a peptide sequence as

Parallel

Struktur und Nomenklatur der Steroide,for a particular target ligand are not available, artificial proteins can be computationally designed. We present a protocol based on RosettaLigand to redesign an existing protein pocket to bind a target ligand. Starting with a protein structure and the structure of the ligand, Rosetta can optimize