Protein Loop Classification Using Artificial Neural Networks

نویسندگان

  • Armando Vieira
  • Baldomero Oliva
چکیده

We used Artificial Neural Network for protein loop classification based on amino acid sequence alone. A new algorithm recently proposed, the Hidden Layer Learning Vector Quantization (HLVQ) was used and its accuracy compared with traditional Multilayer Preceptrons (MLP). The HLVQ algorithm achieved superior accuracy correctly classifying most loops.

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تاریخ انتشار 2005