Hi Guoqiang,
This is a great question whether it is legit to use low resolution alphafold structure to assist the spIsoNet training, and I do not have a definitive answer.
I kind of understand your situation, and if we inject isotropic low resolution information into a map, with spIsoNet reconstruct, high resolution features may "grow" on that low resolution scaffold.
spIsoNet with --ref_resolution strictly cuts off high resolution resolution from reference. I believe the high resolution information better than 10A actually comes from your data.
The problem is we do not know whether the alphafold structure is fully correct even at low resolution. Maybe alphafold is doing great with RMSD smaller than 1 or few Angstroms and maybe Alphafold is doing badly and fails to predict the structure. Currently probably no method can be used to verify independently. This is the reason that we are encouraged to obtain low resolution information through other approaches.