Don’t miss it: Get 40% off Education & Linguistics books! Save through November 30, 2018.

Computational Biology

Data Analytics for Protein Crystallization

Authors: Pusey, Marc L., Aygün, Ramazan Savaş

  • Presents an overview of computational aspects of protein crystallization
  • Reviews computational methods for protein crystallization screening
  • Discusses the effective scoring of protein crystallization trial images
  • Examines the image processing of crystallization trial images
  • Describes the spatiotemporal analysis of protein crystal growth
see more benefits

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-58937-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-58936-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This unique text/reference presents an overview of the computational aspects of protein crystallization, describing how to build robotic high-throughput and crystallization analysis systems. The coverage encompasses the complete data analysis cycle, including the set-up of screens by analyzing prior crystallization trials, the classification of crystallization trial images by effective feature extraction, the analysis of crystal growth in time series images, the segmentation of crystal regions in images, the application of focal stacking methods for crystallization images, and the visualization of trials.

Topics and features: describes the fundamentals of protein crystallization, and the scoring and categorization of crystallization image trials; introduces a selection of computational methods for protein crystallization screening, and the hardware and software architecture for a basic high-throughput system; presents an overview of the image features used in protein crystallization classification, and a spatio-temporal analysis of protein crystal growth; examines focal stacking techniques to avoid blurred crystallization images, and different thresholding methods for binarization or segmentation; discusses visualization methods and software for protein crystallization analysis, and reviews alternative methods to X-ray diffraction for obtaining structural information; provides an overview of the current challenges and potential future trends in protein crystallization.

This interdisciplinary work serves as an essential reference on the computational and data analytics components of protein crystallization for the structural biology community, in addition to computer scientists wishing to enter the field of protein crystallization.

About the authors

Dr. Marc L. Pusey is a Research Scientist at iXpressGenes, Inc., Huntsville, AL, USA.
​Dr. Ramazan S. Aygün is an Associate Professor in the Computer Science Department of the University of Alabama in Huntsville, USA.

Table of contents (11 chapters)

  • Introduction to Protein Crystallization

    Pusey, Marc L. (et al.)

    Pages 1-20

  • Scoring and Phases of Crystallization

    Pusey, Marc L. (et al.)

    Pages 21-32

  • Computational Methods for Protein Crystallization Screening

    Pusey, Marc L. (et al.)

    Pages 33-56

  • Robotic Image Acquisition

    Pusey, Marc L. (et al.)

    Pages 57-81

  • Classification of Crystallization Trial Images

    Pusey, Marc L. (et al.)

    Pages 83-123

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-58937-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-58936-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Data Analytics for Protein Crystallization
Authors
Series Title
Computational Biology
Series Volume
25
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-58937-4
DOI
10.1007/978-3-319-58937-4
Hardcover ISBN
978-3-319-58936-7
Series ISSN
1568-2684
Edition Number
1
Number of Pages
XX, 231
Number of Illustrations
10 b/w illustrations, 56 illustrations in colour
Topics