Deep Convolutional Neural Networks for Predicting Hydroxyproline in Proteins

Abstract

Listen

Translate article

Background: Protein hydroxyproline is one type of post translational modification (PTM). Because protein sequence contains many uncharacterized residues of P, the question that needs to be answered is: Which ones can be hydroxylated, and which ones cannot? The solution will not only give a deeper understanding of the hydroxylation mechanism but can also lead to drug development. The evergrowing demand for better handling of protein sequences in the post-genomic age presents new prediction challenges. Keywords: Protein hydroxyproline, deep learning, convolutional neural network, pseudo amino acid composition (PseAAC), position-specific scoring matrix (PSSM).