Prediction of bioactive peptides using artificial neural networks.
Journal:
Methods in molecular biology (Clifton, N.J.)
Published Date:
Jan 1, 2015
Abstract
Peptides are molecules of varying complexity, with different functions in the organism and with remarkable therapeutic interest. Predicting peptide activity by computational means can help us to understand their mechanism of action and deliver powerful drug-screening methodologies. In this chapter, we describe how to apply artificial neural networks to predict antimicrobial peptide activity.