New Generation Computing, 23(2005)277-290
Ohmsha, Ltd. and
Springer
Received
10 November 2003
Revised manuscript received 25 May 2004
The large number of protein sequences, provided by genomic projects at an increasing
pace, constitutes a challenge for large scale computational studies of protein
structure and thermodynamics. Grid technology is very suitable to face this challenge,
since it provides a way to access the resources needed in compute and data intensive
applications. In this paper, we show the procedure to adapt to the Grid an algorithm
for the prediction of protein thermodynamics, using the GridWay tool. GridWay
allows the resolution of large computational experiments by reacting to events
dynamically generated by both the Grid and the application.
Keywords:Bioinformatics,
Grid Technology, Adaptive Scheduling and Execution.