Hello,

I have a code like the following:

e = modeller.environ(rand_seed=-4000) e.edat.dynamic_sphere = False e.libs.topology.read('${LIB}/top_heav.lib') e.libs.parameters.read('${LIB}/par.lib') modmodel = modeller.model(e) modmodel.build_sequence(sequence) I want it to produce a different initial model each time. Because I'm using gradient descent and I don't want gradient descent to start with the same model each time. What should I do to randomize the initial model? Thank you