3.8 Article Book Chapter

Prediction of Bioactive Peptides Using Artificial Neural Networks

Journal

ARTIFICIAL NEURAL NETWORKS, 2ND EDITION
Volume 1260, Issue -, Pages 101-118

Publisher

HUMANA PRESS INC
DOI: 10.1007/978-1-4939-2239-0_7

Keywords

Artificial neural network; Peptide; Antimicrobial; Screening; Drug

Funding

  1. Medical Research Council [MC_U105185859] Funding Source: Medline
  2. MRC [MC_U105185859] Funding Source: UKRI

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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.

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