Coverart for item
The Resource From Protein Structure to Function with Bioinformatics, edited by Daniel J. Rigden, (electronic resource)

From Protein Structure to Function with Bioinformatics, edited by Daniel J. Rigden, (electronic resource)

Label
From Protein Structure to Function with Bioinformatics
Title
From Protein Structure to Function with Bioinformatics
Statement of responsibility
edited by Daniel J. Rigden
Contributor
Editor
Subject
Language
eng
Summary
This book is about protein structural bioinformatics and how it can help understand and predict protein function. It covers structure-based methods that can assign and explain protein function based on overall folds, characteristics of protein surfaces, occurrence of small 3D motifs, protein-protein interactions and on dynamic properties. Such methods help extract maximum value from new experimental structures, but can often be applied to protein models. The book also, therefore, provides comprehensive coverage of methods for predicting or inferring protein structure, covering all structural classes from globular proteins and their membrane-resident counterparts to amyloid structures and intrinsically disordered proteins. The book is split into two broad sections, the first covering methods to generate or infer protein structure, the second dealing with structure-based function annotation. Each chapter is written by world experts in the field. The first section covers methods ranging from traditional homology modelling and fold recognition to fragment-based ab initio methods, and includes a chapter, new for the second edition, on structure prediction using evolutionary covariance. Membrane proteins and intrinsically disordered proteins are each assigned chapters, while two new chapters deal with amyloid structures and means to predict modes of protein-protein interaction. The second section includes chapters covering functional diversity within protein folds and means to assign function based on surface properties and recurring motifs. Further chapters cover the key roles of protein dynamics in protein function and use of automated servers for function inference. The book concludes with two chapters covering case studies of structure prediction, based respectively on crystal structures and protein models, providing numerous examples of real-world usage of the methods mentioned previously. This book is targeted at postgraduate students and academic researchers. It is most obviously of interest to protein bioinformaticians and structural biologists, but should also serve as a guide to biologists more broadly by highlighting the insights that structural bioinformatics can provide into proteins of their interest
Is part of
Image bit depth
0
Literary form
non fiction
From Protein Structure to Function with Bioinformatics, edited by Daniel J. Rigden, (electronic resource)
Label
From Protein Structure to Function with Bioinformatics, edited by Daniel J. Rigden, (electronic resource)
Link
http://libproxy.rpi.edu/login?url=http://dx.doi.org/10.1007/978-94-024-1069-3
Publication
Related Contributor
Related Location
Related Agents
Related Authorities
Related Subjects
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Preface -- Ab Initio Protein Structure Prediction -- Protein structures, interactions and function from evolutionary couplings.-Fold Recognition -- Comparative protein structure modelling -- Advances in computational methods for transmembrane protein structure prediction -- Bioinformatics approaches to the structure and function of intrinsically disordered proteins -- Prediction of Protein Aggregation and Amyloid Formation -- Prediction of biomolecular complexes -- Function Diversity within Folds and Superfamilies -- Function prediction using patches, pockets and other surface properties -- 3D Motifs -- Protein Dynamics: From Structure to Function -- Integrated servers for structure-informed function prediction -- Case Studies: Function Predictions Of Structural Genomics Results -- Prediction of protein function from theoretical models -- Index
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9789402410693&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4258273'}
Edition
2nd ed. 2017.
Extent
XV, 503 p. 86 illus., 75 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9789402410693
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote

Library Locations

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