Abstract
Attempts to predict protein tertiary structure, through neural network or other means, generally try to optimize some potential function or other “score” over a set of structures. This paper develops a formalism that addresses the question: What are the accuracy requirements for a potential function that predicts protein structure? The results of a simple model calculation with this formalism are also presented. The paper closes with a discussion of the implications of these results for practical structure prediction.
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