Hi

I have two questions about the homology modelling tool:

1. Why is the default number of models to be built five? Does having five models provide a better choice for choosing the best model?
2. In evaluating a protein model which of the following parameters plays a much more dominating role: zDOPE, predicted RMSD or the predicted native overlap? Or do all three measures contribute the same effect on model evaluation? For instance a model might have a low zDOPE score but have a higher RMSD while another model might have a much more positive zDOPE score but a lower RMSD. Based on this, would the first model be the better one to pick or do both models have equal weight in terms of overall model quality?