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. Author manuscript; available in PMC: 2015 Oct 1.
Published in final edited form as: Curr Opin Struct Biol. 2014 Aug 28;0:96–104. doi: 10.1016/j.sbi.2014.08.001

Figure 1.

Figure 1

Uncertainty in integrative structure modeling. The four-stage scheme of integrative structure modeling is used to describe how to approach uncertainty in the data and the models. The collected information is converted into a scoring function that accounts for data error, ambiguity, and incoherence. The model representation should reflect data sparseness. After sampling, if good-scoring models satisfy the restraints, they are further evaluated by structural clustering and data validation tests.