New Generation Computing, 22(2004)137-146
Ohmsha, Ltd. and Springer-Verlag
Received 26 June 2003
Revised manuscript received 31 October 2003
Computational modeling in the health sciences is still very challenging and much of the success has been despite the difficulties involved in integrating all of the technologies, software, and other tools necessary to answer complex questions. Very large-scale problems are open to questions of spatio-temporal scale, and whether physico-chemical complexity is matched by biological complexity. For example, for many reasons, many large-scale biomedical computations today still tend to use rather simplified physics/chemistry compared with the state of knowledge of the actual biology/biochemistry. The ability to invoke modern grid technologies offers the ability to create new paradigms for computing, enabling access of resources which facilitate spanning the biological scale.
Keywords:Grid Computing, Distributed Parametric Modeling, QM/MM Methods, Pseudopotentials.