Grid Computing Solutions for Distributed Repositories of Protein Folding and Unfolding Simulations

نویسندگان

  • Martin T. Swain
  • Vitaliy Ostropytskyy
  • Cândida G. Silva
  • Frederic T. Stahl
  • Olivier Riche
  • Rui M. M. Brito
  • Werner Dubitzky
چکیده

The P-found protein folding and unfolding simulation repository is designed to allow scientists to perform analyses across large, distributed simulation data sets. There are two storage components in P-found: a primary repository of simulation data and a data warehouse. Here we demonstrate how grid technologies can support multiple, distributed P-found installations. In particular we look at two aspects, first how grid data management technologies can be used to access the distributed data warehouses; and secondly, how the grid can be used to transfer analysis programs to the primary repositories – this is an important and challenging aspect of P-found because the data volumes involved are too large to be centralised. The grid technologies we are developing with the P-found system will allow new large data sets of protein folding simulations to be accessed and analysed in novel ways, with significant potential for enabling new scientific discoveries.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Combining Task- and Data Parallelism to Speed up Protein Folding on a Desktop Grid Platform Is efficient protein folding possible with CHARMM on the United Devices MetaProcessor?

The steady increase of computing power at lower and lower cost enables molecular dynamics simulations to investigate the process of protein folding with an explicit treatment of water molecules. Such simulations are typically done with well known computational chemistry codes like CHARMM. Desktop grids such as the United Devices MetaProcessor are highly attractive platforms, since scavenging fo...

متن کامل

Implementation and Characterization of Protein Folding on a Desktop Computational Grid

CHARMM is a popular molecular dynamics code for computational biology. For many CHARMM applications such as protein folding, desktop grids could become viable alternatives to clusters of PCs. In this technical report, we present a prototype and discuss the viability of a protein folding application with CHARMM on the United Devices MetaProcessor, a platform for widely distributed computing. We ...

متن کامل

Implementation and Characterization of Protein Folding on a Desktop Computational Grid - Is CHARMM a Suitable Candidate for the United Devices MetaProcessor?

CHARMM is a popular molecular dynamics code for computational biology. For many CHARMM applications such as protein folding, desktop grids could become viable alternatives to clusters of PCs. In this paper, we present a prototype and discuss the viability of a protein folding application with CHARMM on the United Devices MetaProcessor, a platform for widely distributed computing. We identify th...

متن کامل

Multimolecule test-tube simulations of protein unfolding and aggregation.

Molecular dynamics simulations of protein folding or unfolding, unlike most in vitro experimental methods, are performed on a single molecule. The effects of neighboring molecules on the unfolding/folding pathway are largely ignored experimentally and simply not modeled computationally. Here, we present two all-atom, explicit solvent molecular dynamics simulations of 32 copies of the Engrailed ...

متن کامل

Green Energy-aware task scheduling using the DVFS technique in Cloud Computing

Nowdays, energy consumption as a critical issue in distributed computing systems with high performance has become so green computing tries to energy consumption, carbon footprint and CO2 emissions in high performance computing systems (HPCs) such as clusters, Grid and Cloud that a large number of parallel. Reducing energy consumption for high end computing can bring various benefits such as red...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008