BioSimGrid: Grid-enabled biomolecular simulation data storage and analysis
نویسندگان
چکیده
منابع مشابه
BioSimGrid: Grid-enabled biomolecular simulation data storage and analysis
In computational biomolecular research, large amounts of simulation data are generated to capture the motion of proteins. These massive simulation data can be analysed in a number of ways to reveal the biochemical properties of the proteins. However, the legacy way of storing these data (usually in the laboratory where the simulations have been run) often hinders a wider sharing and easier cros...
متن کاملTowards A Grid-Enabled Biomolecular Simulation Database
The overall aim of the BioSimGrid project is to build a distributed data and computing platform to enable large scale analysis of the results of biomolecular simulations. To address the challenges of distributed computing on large amounts of simulation data, we have built an open software framework system based on off-the-shelf middleware, SRB (Storage Resource Broker) and the distributed enter...
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The overall aim of the BioSimGrid project (www.biosimgrid.org) is to exploit the Grid infrastructure to enable comparative analysis of the results of biomolecular simulations. In particular this paper discusses the security implementation of the BioSimGrid web portal. To achieve a secured application environment, a dedicated security layer has been built on the layers of SOA (Service Oriented A...
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BioSimGrid aims to deliver a biomolecular simulation data repository to enable more efficient storage, access and exchange of biomolecular simulation data. This is an ongoing project still in development that seeks to exploit the concept of the Grid where large computational and data resources are made available to users in a highly accessible manner. The ability to submit, search, query, retri...
متن کاملGrid computing and biomolecular simulation.
Biomolecular computer simulations are now widely used not only in an academic setting to understand the fundamental role of molecular dynamics on biological function, but also in the industrial context to assist in drug design. In this paper, two applications of Grid computing to this area will be outlined. The first, involving the coupling of distributed computing resources to dedicated Beowul...
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ژورنال
عنوان ژورنال: Future Generation Computer Systems
سال: 2006
ISSN: 0167-739X
DOI: 10.1016/j.future.2005.10.005