Recent advances in supercomputing technology combined with advanced software analysis tools has facilitated the in-silico reconstruction of macromolecular structures using predictive methods. Previous work by our group resulted in the first complete reconstruction and simulation of a human pathogen incorporating the encoding genomic information1. Integral to the development of this work was the standardization of a protocol for the reconstruction and examination of viruses that exhibit icosahedral symmetry incorporating the use of predictive modelling methods to replace missing structural data. A novel component of the research involved the reconstruction of large, multi-million atom, macromolecular structures with multiple repeating units. The simulation outputs could then be used for statistical purposes to indicate subtle atomic movements that show a direct correlation with b-factors derived from x-ray diffraction experiments.