Title
eResearch Solutions for High Throughput Structural Biology
Abstract
Structural biology research places significant demands upon computing and informatics infrastructure. Protein production, crystallization and X-ray data collection require solutions to data management, annotation, target tracking and remote experiment monitoring. Structure elucidation is computationally demanding and requires user-friendly interfaces to high-performance computing resources. Here we discuss how these challenges are being met at the Protein Crystallography Unit at Monash University. Specifically, we have developed informatics solutions for each stage in the structural biology pipeline, from DNA cloning through to protein structure determination. This infrastructure will be pivotal for accelerating the process of structural discovery and will be of significant interest to other laboratories worldwide.
Year
DOI
Venue
2007
10.1109/E-SCIENCE.2007.31
eScience
Keywords
Field
DocType
dna,user interfaces,structural biology,crystallization,data management,high throughput,protein crystallography,molecular biophysics,dna cloning,data collection,data analysis,proteins,structure elucidation,protein production
Data science,Informatics,Annotation,Computer science,Structural biology,Remote experiment,Throughput,User interface,Data Annotation,Data management
Conference
ISSN
ISBN
Citations 
2325-372X
0-7695-3064-8
3
PageRank 
References 
Authors
0.59
5
12
Name
Order
Citations
PageRank
Noel G. Faux182.24
Anthony Beitz2335.68
Mark A. Bate3122.04
Abdullah A Amin440.98
Ian Atkinson5356.15
Colin Enticott623121.68
Khalid Mahmood727039.43
Matthew Swift830.59
Andrew Treloar95510.89
David Abramson103302393.08
James C Whisstock11937.90
Ashley M Buckle12327.06