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The Resource Computational design of ligand binding proteins, edited by Barry L. Stoddard

Computational design of ligand binding proteins, edited by Barry L. Stoddard

Label
Computational design of ligand binding proteins
Title
Computational design of ligand binding proteins
Statement of responsibility
edited by Barry L. Stoddard
Contributor
Editor
Subject
Language
eng
Summary
This volume provides a collection of protocols and approaches for the creation of novel ligand binding proteins, compiled and described by many of today's leaders in the field of protein engineering. Chapters focus on modeling protein ligand binding sites, accurate modeling of protein-ligand conformational sampling, scoring of individual docked solutions, structure-based design program such as ROSETTA, protein engineering, and additional methodological approaches. Examples of applications include the design of metal-binding proteins and light-induced ligand binding proteins, the creation of binding proteins that also display catalytic activity, and the binding of larger peptide, protein, DNA and RNA ligands. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls
Member of
Cataloging source
RML
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Methods in molecular biology,
Series volume
volume no. 1414
Computational design of ligand binding proteins, edited by Barry L. Stoddard
Label
Computational design of ligand binding proteins, edited by Barry L. Stoddard
Link
http://libproxy.rpi.edu/login?url=http://link.springer.com/10.1007/978-1-4939-3569-7
Publication
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Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • PocketOptimizer and the design of ligand binding sites
  • Andre C. Stiel, Mehdi Nellen, and Birte Höcker
  • Proteus and the design of ligand binding sites
  • Savvas Polydorides [and others]
  • Structure-based design protocol for optimizing combinatorial protein libraries
  • Mark W. Lunt and Christopher D. Snow
  • Combined and iterative use of computational design and directed evolution for protein-ligand binding design
  • Meng Wang and Huimin Zhao
  • Improving binding affinity and selectivity of computationally designed ligand-binding proteins using experiments
  • Christine E. Tinberg and Sagar D. Khare
  • In silico identification and characterization of protein-ligand binding sites
  • Computational design of multinuclear metalloproteins using unnatural amino acids
  • William A. Hansen, Jeremy H. Mills, and Sagar D. Khare
  • De novo design of metalloproteins and metalloenzymes in a three-helix bundle
  • Jefferson S. Plegaria and Vincent L. Pecoraro
  • Design of light-controlled protein conformations and functions
  • Ryan S. Ritterson [and others]
  • Computational Introduction of Catalytic Activity into Proteins
  • Steve J. Bertolani, Dylan Alexander Carlin, and Justin B. Siegel
  • Generating high-accuracy peptide-binding data in high throughput with yeast surface display and SORTCERY
  • Lothar "Luther" Reich, Sanjib Dutta, and Amy E. Keating
  • Daniel Barry Roche and Liam James McGuffin
  • Design of specific peptide-protein recognition
  • Fan Zheng and Gevorg Grigoryan
  • Computational design of DNA-binding proteins
  • Summer Thyme and Yifan Song
  • Motif-driven design of protein-protein interfaces
  • Daniel-Adriano Silva, Bruno E. Correia, and Erik Procko
  • Computational reprogramming of T cell antigen receptor binding properties
  • Timothy P. Riley [and others]
  • Computational modeling of T cell receptor complexes
  • Timothy P. Riley [and others]
  • Computational modeling of small molecule ligand binding interactions and affinities
  • Computational design of protein linkers
  • Brian Kuhlman, Tim Jacobs, and Tom Linskey
  • Modeling of protein-RNA complex structures using computational docking methods
  • Bharat Madan [and others]
  • Marino Convertino and Nikolay V. Dokholyan
  • Binding site prediction of proteins with organic compounds or peptides using GALAXY web servers
  • Lim Heo [and others]
  • Rosetta and the Design of Ligand Binding Sites
  • Rocco Moretti [and others]
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9781493935673&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b3793162'}
Extent
1 online resource (xvi, 375 pages)
Form of item
online
Isbn
9781493935673
Lccn
2016937968
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations (some color).
Specific material designation
remote

Library Locations

    • Folsom LibraryBorrow it
      110 8th St, Troy, NY, 12180, US
      42.729766 -73.682577
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