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BioSimGrid: a distributed database for biomolecular simulations

By Bing Wu, Kaishu Tai, Stuart Murdock, Muan Hong Ng, Steve Johnston, Hans Fangohr, Paul Jeffreys, Simon Cox, Jonathan Essex and Mark S.P. Sansom


Biomolecular simulations provide data on the conformational dynamics and energetics of complex biomolecular systems. We aim to exploit the e-science infrastructure developing in the UK to enable large scale analysis of the results of such simulations. In particular, the BioSimGrid project ( will provide a generic database for comparative analysis of simulations of biomolecules of biological and pharmaceutical interest. In order to address the challenges of distributed computing on large amounts of simulation data the project is building an open software framework system based on OGSA (Open Grid Service Architecture) and OGSA-DAI (Open Grid Service Architecture Database Access and Integration). The system will have a service-oriented computing model using Grid-based Web service technology to deliver data analysis. Data mining services will be provided for the biomolecular simulation and structural biology communities. To address the security problem of the heterogeneous BioSimGrid environment, a Grid certificate-based and a user/pass based authentication mechanism will be integrated across the system. Furthermore, a distributed authorization and accounting mechanism is discussed to enhance the security

Topics: ZA4450, QH301, QA76
Publisher: Engineering and Physical Sciences Research Council
Year: 2003
OAI identifier:
Provided by: e-Prints Soton
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