Dead-end elimination

Known as: Dead end elimination, Dee 
The dead-end elimination algorithm (DEE) is a method for minimizing a function over a discrete set of independent variables. The basic idea is to… (More)
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Papers overview

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2013
2013
Soft neighborhood substitutability (SNS) is a powerful technique to automatically detect and prune dominated solutions in… (More)
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2012
2012
Active site mutations that disrupt drug binding are an important mechanism of drug resistance. Computational methods capable of… (More)
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2008
2008
In protein redesign one of the main challenges is the ability to evaluate many different conformations of the redesigned protein… (More)
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Highly Cited
2007
Highly Cited
2007
MOTIVATION Dead-End Elimination (DEE) is a powerful algorithm capable of reducing the search space for structure-based protein… (More)
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2007
2007
Multistate protein design is the task of predicting the amino acid sequence that is best suited to selectively and stably fold to… (More)
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2007
2007
Proteins are flexible systems and commonly populate several functionally important states. To understand protein function, these… (More)
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2006
2006
We apply the dead-end elimination (DEE) strategy from protein design as a heuristic for the max-flow/min-cut formulation of the… (More)
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2006
2006
MOTIVATION Structure-based protein redesign can help engineer proteins with desired novel function. Improving computational… (More)
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Highly Cited
2000
Highly Cited
2000
Dead-end elimination (DEE) is a powerful theorem for selecting optimal protein side-chain orientations from a large set of… (More)
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1999
1999
MOTIVATION Local multiple sequence alignment is a basic tool for extracting functionally important regions shared by a family of… (More)
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