I would say no.
Here is my argument: when I worked for DOE, everybody told me I had to run my MD simulations on a super computer using all the processors, and I would judged on my parallel efficiency. This meant using a code that used MPI to communicate at every (or every N) timesteps. I asked, instead, "Why not just run N independent simulations, and pool the results?" In this case, you run an M-thread simulation on each machine (where M = number of cores on the machine) with no internode communication at all except to read input files and write output files.
The short answer is, that approach works just fine, but the DOE supercomputer people won't let you run embarassingly parallel codes because they already spent money on the interconnect to run tightly coupled codes.
In reponse to this, I went to Google, built Exacycle (loosely coupled HPC) and published this well-cited paper: http://www.ncbi.nlm.nih.gov/pubmed/24345941 which in my opinion put the last nail in the coffin of DOE-style physics simulations for molecular dynamics.
That said, there are systems which are so large you can't practically simulate a single instance of the system on a single machine, so you have to partition. Simulating the ribosome is a nice example. However, simulating the ribosome currently provides no valuable scientific data except to tell us that we have major problems with our simulation systems (force field errors, missing QM, electrostatic approximations,e tc).