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Redes Bayesianas

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7.5 Predicción de la estructura secundaria de las proteinas<br />

• Experimentos con una base de datos de 513<br />

aminoácidos no redundantes (Cuff and<br />

Barton, 1999)<br />

• Modelo naïve–Bayes:<br />

• Variables predictoras: ventana de 9<br />

aminoácidos a partir de 2 posiciones a la<br />

derecha del aminoácido a predecir<br />

• 10 fold–cross–validation: 68,59 %<br />

• Alpha helix: 75,00 %<br />

• Beta helix: 36,00 %<br />

• Coil: 73,00 %<br />

<strong>Redes</strong> <strong>Bayesianas</strong> – p.59/91

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