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Dead-end elimination (DEE) is a powerful theorem for selecting optimal protein side-chain orientations from a large set of discrete conformations. The present work describes a new approach to dead-end elimination that effectively splits conformational space into partitions to more efficiently eliminate dead-ending rotamers. Split DEE makes it possible to complete protein design calculations that were previously intractable due to the combinatorial explosion of intermediate conformations generated during the convergence process.
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Pierce et al. (2000) studied this question.
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