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• W2034852683 abstract "We present large-scale optimization techniques to model the energy function that underlies the folding process of proteins. Linear Programming is used to identify parameters in the energy function model, the objective being that the model predict the structure of known proteins correctly. Such trained functions can then be used either for ab-initio prediction or for recognition of unknown structures. In order to obtain good energy models we need to be able to solve dense Linear Programming Problems with tens (possibly hundreds) of millions of constraints in a few hundred parameters, which we achieve by tailoring and parallelizing the interior-point code PCx." @default.
• W2034852683 created "2016-06-24" @default.
• W2034852683 creator A5073091783 @default.
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• W2034852683 date "2004-07-07" @default.
• W2034852683 modified "2023-10-17" @default.
• W2034852683 title "Large-scale linear programming techniques for the design of protein folding potentials" @default.
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• W2034852683 doi "https://doi.org/10.1007/s10107-004-0526-7" @default.
• W2034852683 hasPublicationYear "2004" @default.
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