Data Analytics for Protein Crystallization

ISBN-13: 9783319589367 / Angielski / Twarda / 2017 / 231 str.

Ramazan Aygun; Marc Pusey

Opis

This book provides an overview of the computational aspects of protein crystallization screening and analysis of crystallization image trials.

Spis treści

Introduction to Protein Crystallization

Scoring and Phases of Crystallization

Computational Methods for Protein Crystallization Screening

Robotic Image Acquisition

Classification of Crystallization Trial Images

Crystal Growth Analysis

Focal Stacking for Crystallization Microscopy

Crystal Image Region Segmentation

Visualization

Other Structure Determination Methods

Future of Computational Protein Crystallization

O autorze

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.

Blurb

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.

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