Hello any and all, I was looking to make use of the functionality of wilson_scaling (Wilson plot, etc.) from mmtbx.scaling.data_statistics, in the context of small molecule data. I'm new to mmtbx, so here are two (groups of) questions for the enlightened: 1. Designed, as it is, with MX in mind, wilson_scaling's __init__ demands as an argument the number of protein residues, in order to form an estimate of the contents of the asymmetric unit. If this class were to be used in a small molecule context, what would be a sensible value to use? Would spoofing n_residues with an arbitrary small number (1?) be a robust bodge? Is it ever likely to howl? 2. Being crystals of small molecules, the samples in question may have inversion centres, mirror planes. Having been designed as a tool for MX, will wilson_scaling throw a wobbly when it sees my data? Many thanks, Ben Williams Diamond Light Source -- This e-mail and any attachments may contain confidential, copyright and or privileged material, and are for the use of the intended addressee only. If you are not the intended addressee or an authorised recipient of the addressee please notify us of receipt by returning the e-mail and do not use, copy, retain, distribute or disclose the information in or attached to the e-mail. Any opinions expressed within this e-mail are those of the individual and not necessarily of Diamond Light Source Ltd. Diamond Light Source Ltd. cannot guarantee that this e-mail or any attachments are free from viruses and we cannot accept liability for any damage which you may sustain as a result of software viruses which may be transmitted in or with the message. Diamond Light Source Limited (company no. 4375679). Registered in England and Wales with its registered office at Diamond House, Harwell Science and Innovation Campus, Didcot, Oxfordshire, OX11 0DE, United Kingdom