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10.7717/peerj.3139

http://scihub22266oqcxt.onion/10.7717/peerj.3139
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C5398280!5398280!28439455
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suck abstract from ncbi


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pmid28439455      PeerJ 2017 ; 5 (ä): ä
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  • The evolution of logic circuits for the purpose of protein contact map prediction #MMPMID28439455
  • Chapman SD; Adami C; Wilke CO; B KC D
  • PeerJ 2017[]; 5 (ä): ä PMID28439455show ga
  • Predicting protein structure from sequence remains a major open problem in protein biochemistry. One component of predicting complete structures is the prediction of inter-residue contact patterns (contact maps). Here, we discuss protein contact map prediction by machine learning. We describe a novel method for contact map prediction that uses the evolution of logic circuits. These logic circuits operate on feature data and output whether or not two amino acids in a protein are in contact or not. We show that such a method is feasible, and in addition that evolution allows the logic circuits to be trained on the dataset in an unbiased manner so that it can be used in both contact map prediction and the selection of relevant features in a dataset.
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