I am continuing to working with IMP/PMI for integrative modeling of a
protein complex using EM and crosslinking information. Ultimately, as in
the tutorial, I have 4 sets of restraints: excluded volume,
connectivity, crosslinks and gaussian.
I would like to explore what weights to set.
Generally it shouldn't be necessary to modify the weights, except for
possibly the EM restraint. There thus isn't really a protocol for
optimizing the weights. Ideally each restraint would be Bayesian in
nature such that weights are entirely unnecessary, although this isn't
yet the case for EM.