Several computational approaches aimed to the prediction of protein domain boundaries have been published during the last few years [41, 42] . Besides their intrinsic interest in genome analysis and evolution studies, they are tools that structural biologists may use to optimize the design of the constructs of the proteins, the three-dimensional (3D) structure of which must be determined [43] . While this is particularly important in structural genomics (SG), where the targets have, in general, not been deeply characterized with appropriate biochemical and biophysical tools, this can be important also for traditional hypothesis-driven structural biology projects, where a fine tuning of the construct that is inserted into the experimental pipeline -cloning, expression, purification, etc. -is often necessary in order to get suitable samples [44] .