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Standort: Zweigstelle Neuenheim / Freihandbereich Monograph  3D-Plan
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Titel:Computational protein design
Mitwirkende:Samish, IIan [HerausgeberIn]   i
 Samish, Ilan [HerausgeberIn]   i
Verf.angabe:edited by Ilan Samish
Verlagsort:New York
Verlag:Humana Press
E-Jahr:2017
Jahr:[2017]
Umfang:xii, 450 Seiten
Illustrationen:Illustrationen
Gesamttitel/Reihe:Methods in molecular biology ; 1529
 Springer protocols
Fussnoten:Includes bibliographical references and index
Ang. zum Inhalt:Framework of computational protein design / Ilan Samish
 Achievements and challenges in computational protein design / Ilan Samish
 Production of computationally designed small soluble- and membrane-proteins : cloning, expression, and purification / Barsa Tripathy and Rudresh Acharya
 Deterministic search methods for computational protein design / Seydou Traore, David Allouche, Isabelle Andre, Thomas Schiex, and Sophie Barbe
 Geometric potentials for computational protein sequence design / Jie Li and Patrice Koehl
 Modeling binding affinity of pathological mutations for computational protein design / Miguel Romero-Durana, Chiara Pallara, Fabian Glaser, and Juan Fernandez-Recio
 Multistate computational protein design with backbone ensembles / James A. Davey and Roberto A. Chica
 Integration of molecular dynamics based predictions into the optimization of de novo protein designs : limitations and benefits / Henrique F. Carvalho, Armenio J.M. Barbosa, Ana C.A. Roque, Olga Iranzo, and Ricardo J.F. Branco
 Applications of normal mode analysis methods in computational protein design / Vincent Frappier, Matthieu Chartier, and Rafael Najmanovich
 Computational protein design under a given backbone structure with the ABACUS statistical energy function / Peng Xiong, Quan Chen, and Haiyan Liu
 Computational protein design through grafting and stabilization / Cheng Zhu, David D. Mowrey, and Nikolay V. Dokholyan
 Evolution-based approach to de novo protein design / Jeffrey R. Brender, David Shultis, Naureen Aslam Khattak, and Yang Zhang
 Parallel computational protein design / Yichao Zhou, Bruce R. Donald, and Jianyang Zeng
 BindML/BindML+ : detecting protein-protein interaction interface propensity from amino acid substitution patterns / Qing Wei, David La, and Daisuke Kihara
 OSPREY predicts resistance mutations using positive and negative computational protein design / Adegoke Ojewole, Anna Lowegard, Pablo Gainza, Stephanie M. Reeve, Ivelin Georgiev, Amy C. Anderson, and Bruce R. Donald
 Evolution-inspired computational design of symmetric proteins / Arnout R.D. Voet, David Simoncini, Jeremy R.H. Tame, and Kam Y.J. Zhang
 Protocol for the design of protein and peptide nanostructure self-assemblies exploiting synthetic amino acids / Nurit Haspel, Jie Zheng, Carlos Aleman, David Zanuy, and Ruth Nussinov
 Probing oligomerized conformations of defensin in the membrane / Wenxun Gan, Dina Schneidman, Ning Zhang, Buyong Ma, and Ruth Nussinov
 Computational design of ligand binding proteins / Christine E. Tinberg and Sagar D. Khare
 EpiSweep : computationally driven reengineering of therapeutic proteins to reduce immunogenicity while maintaining function / Yoonjoo Choi, Deeptak Verma, Karl E. Griswold, and Chris Bailey-Kellogg
 Computational tools for aiding rational antibody design / Konrad Krawczyk, James Dunbar, and Charlotte M. Deane
 Computational design of membrane curvature-sensing peptides / Armando Jerome de Jesus and Hang Yin
 Computational tools for allosteric drug discovery : site identification and focus library design / Wenkang Huang, Ruth Nussinov, and Jian Zhang.
ISBN:1-4939-6635-9
 978-1-4939-6635-6
Bestellnr.:Bestellnummer: 978-1-4939-6635-6
 Bestellnummer: 86352964
URL:Inhaltstext: http://deposit.d-nb.de/cgi-bin/dokserv?id=a6ffe22546374edd9be739ed429a2584&prov=M&dok_var=1&dok_ext=htm
 Cover: http://swbplus.bsz-bw.de/bsz481732101cov.htm
 Verlag: http://www.springer.com/
Schlagwörter:(s)Proteindesign   i
 (s)Proteindesign   i
Sprache:eng
Bibliogr. Hinweis:Erscheint auch als : Online-Ausgabe: Computational Protein Design. - New York, NY : Humana Press, 2017. - Online-Ressource (XII, 450 p. 144 illus., 111 illus. in color, online resource)
RVK-Notation:VK 8560   i
K10plus-PPN:876308752
Verknüpfungen:→ Übergeordnete Aufnahme
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