eResearch solutions for high throughput structural biology

Faux, Noel, Beitz, Anthony, Bate, Mark, Amin, Abdullah A., Atkinson, Ian, Enticott, Colin, Mahmood, Khalid, Swift, Matthew, Treloar, Andrew, Abramson, David, Whisstock, James C, and Buckle, Ashley M. (2007) eResearch solutions for high throughput structural biology. In: eScience and Grid Computing, IEEE International Conference, pp. 221-227. From: 3rd IEEE International Conference on e-Science and Grid Computing, 10-13 Dec 2007, Bangalore, India.

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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 inteljaces to high-pe/jormance 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.

Item ID: 3088
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: x-ray diffraction; eresearch; srb
ISBN: 978-0-7695-3064-2
Date Deposited: 28 Sep 2009 01:10
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems > 080699 Information Systems not elsewhere classified @ 50%
08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems > 080604 Database Management @ 50%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890202 Application Tools and System Utilities @ 51%
97 EXPANDING KNOWLEDGE > 970103 Expanding Knowledge in the Chemical Sciences @ 49%
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