(2016) 'EMIM : software for relating ion mobility mass spectrometry and electron microscopy data.', Analyst., 141 (1). pp. 70-75. Further information on publisher's website:https://doi.org/10.1039/c5an01636cPublisher's copyright statement:Additional information:
Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. We present EM!IM, software that allows the calculation of collision cross-sections from electron density maps obtained for example by means of transmission electron microscopy. This allows the validation of structures other than those described by atomic coordinates with ion mobility mass spectrometry data, and provides a new means for contouring and validating electron density maps. EM!IM thereby facilitates the use of data obtained in the gas phase within structural biology studies employing diverse experimental methodologies.Ion mobility mass spectrometry (IM-MS) can be used to investigate the structure of large biomolecules and the complexes they assemble into [1][2][3][4][5][6] . While the MS experiment provides a mass measurement, the IM dimension reports on the ability of an ion to traverse a region of low pressure that, depending on the experimental implementation 7, 8 , may be quantified through an orientationally averaged collision cross-section (CCS). The CCS can subsequently be exploited to validate existing atomic coordinates, assess differing candidate structures, or to guide model building directly [1][2][3][4][5][6] .A number of different algorithms 9-14 , tailored to specific applications, have been written to calculate the CCS of a given threedimensional structure, allowing the relation of IM measurements to structures derived from X-ray crystallography, NMR spectroscopy, or atomic modelling [15][16][17] An electron density map is typically a three-dimensional grid, with each voxel having a certain density value. In general, such a map is displayed as a volume demarcated by an isodensity surface, which is generated by specifying a contour-level, the lower electron density threshold (!*) for a voxel to be considered occupied. The more stringent this threshold is, the fewer voxels match the electron density criterion, and the smaller the resultant volume. Furthermore, as the electron density is typically anisotropic 18 , changing the threshold can result in different shapes. Yet, despite its importance, defining the appropriate threshold is difficult, and particularly so for low resolution maps (>10Å), where secondary structure elements are not readily identifiable 20 .Our fundamental premise in d...