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The size, number and complexity of macromolecular structures has been growing dramatically in recent years making visualisation and analysis of macromolecules non-trivial and sometimes impossible. At the same time, developments within genomics, web-based game development and Big Data mean that hardware and software now support such analysis. However existing macromolecular file formats present an I/O bottleneck meaning the power of such technologies cannot be harnessed. In this work we present a modern MacroMolecular Transmission Format (MMTF). MMTF is 91% smaller than mmCIF and is up to two orders of magnitude faster to parse. Both these changes provide a paradigm shift in the way structural biology can be carried out. The largest structures can now be visualised on all devices and the entire archive can be interactively queried and analysed in seconds through an efficient in-memory representation.